biometric technology
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This document discusses fingerprint technology for biometrics. It begins by explaining why biometrics are useful for security and authentication since fingerprints are unique to each person. It then describes fingerprint patterns and the advanced minutiae-based algorithm used to extract features from fingerprints and match templates. The document distinguishes between identification and authentication applications and describes security measures. It also briefly discusses other biometric technologies and the growing fingerprint industry.
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Biometrics
This document discusses biometrics, which uses human body characteristics to authenticate identity. It describes biometric devices that scan and digitize characteristics like fingerprints, irises, voice patterns. Biometrics can be physiological (face, fingerprints) or behavioral (signature, voice). To be used for identification, characteristics must be universal, unique, permanent, collectible, and difficult to circumvent. The document outlines various biometric modalities like fingerprint recognition, face recognition, voice recognition, and iris recognition. It also discusses advantages like accuracy but notes disadvantages like cost and changing characteristics with age, disease, or environment.
Biometric Technology
This document discusses biometrics, which refers to the automatic identification of individuals based on physiological or behavioral characteristics. It describes the three components of a biometric system - sensors to detect characteristics, computers to store information, and software to analyze and compare characteristics. The document outlines different biometric terms and characteristics, including physiological (fingerprint, iris scan, face) and behavioral (voice, signature, keystroke) methods. It provides details on recognition techniques for various biometrics and applications of biometrics technology in areas like forensics, security access, transactions, and automobiles. In conclusion, biometrics allows for a secure, password-less world by using individuals' unique physical traits.
Biometrics Technology In the 21st Century
This document discusses biometric devices and their use for security and identification. It describes that biometrics uses human characteristics like fingerprints, iris scans, etc. to identify individuals. There are two main types of biometrics - behavioral (signatures, keystrokes) and physical (fingerprints, iris scans). Biometric devices work by recording these characteristics, extracting identifying features, and comparing new samples to stored references. Examples of biometric devices are fingerprint, palm, face, and iris scanners. The document also describes one biometric device called Bio-Star 09 and its use for employee attendance tracking and access control.
Biometrics Security System
Biometrics refers to using unique human characteristics for identification. Biometric systems work by recording and comparing biometric traits like fingerprints, iris scans, voice patterns etc. These systems provide fast and accurate identification, making biometrics more secure than traditional security methods. Some key uses of biometric systems include border control, law enforcement, and workplace timekeeping and access control.
Biometrics
This document provides an overview of biometrics including what biometrics is, why it is used, the history of biometrics, common biometric techniques (e.g. fingerprints, iris scans, facial recognition), and advantages and disadvantages of each technique. It discusses identification vs verification uses of biometrics and covers physical, behavioral, and emerging biometric methods. The document concludes that biometrics provides desirable security characteristics and will continue growing in use for mobile devices, buildings, and more in the coming years.
Introduction To Biometrics
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Biometrics Technology PPT
This document provides an overview of biometrics technologies. It begins with an introduction to biometrics and then discusses the history of biometrics from ancient Egyptians and Chinese using fingerprints to modern systems being developed in the 1970s. The document outlines key characteristics biometrics must have such as universality and permanence. It then classifies and describes various biometric technologies including fingerprint, face, iris, voice, and signature recognition. Application examples are presented for areas like gaming, television control, and accessibility switches. The document concludes that biometrics provide a user-friendly way to interact with devices without passwords while continuing to develop as an emerging field.
Biometric's final ppt
The document defines biometrics as the automatic identification of a person based on physiological or behavioral characteristics. It lists different biometric characteristics including fingerprint, facial recognition, hand geometry, iris scan, and retina scan. It then describes several biometric recognition techniques such as fingerprint recognition, facial recognition, hand geometry, iris recognition, and retina recognition. Finally, it discusses applications of biometrics such as preventing unauthorized access, criminal identification, and improving security in areas like ATMs, cellphones, computers, automobiles, and airports.
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This document discusses biometrics, which uses human body characteristics to authenticate identity. It describes biometric devices that scan and digitize characteristics like fingerprints, irises, voice patterns. Biometrics can be physiological (face, fingerprints) or behavioral (signature, voice). To be used for identification, characteristics must be universal, unique, permanent, collectible, and difficult to circumvent. The document outlines various biometric modalities like fingerprint recognition, face recognition, voice recognition, and iris recognition. It also discusses advantages like accuracy but notes disadvantages like cost and changing characteristics with age, disease, or environment.
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This document discusses biometrics, which refers to the automatic identification of individuals based on physiological or behavioral characteristics. It describes the three components of a biometric system - sensors to detect characteristics, computers to store information, and software to analyze and compare characteristics. The document outlines different biometric terms and characteristics, including physiological (fingerprint, iris scan, face) and behavioral (voice, signature, keystroke) methods. It provides details on recognition techniques for various biometrics and applications of biometrics technology in areas like forensics, security access, transactions, and automobiles. In conclusion, biometrics allows for a secure, password-less world by using individuals' unique physical traits.
Biometrics Technology In the 21st Century
This document discusses biometric devices and their use for security and identification. It describes that biometrics uses human characteristics like fingerprints, iris scans, etc. to identify individuals. There are two main types of biometrics - behavioral (signatures, keystrokes) and physical (fingerprints, iris scans). Biometric devices work by recording these characteristics, extracting identifying features, and comparing new samples to stored references. Examples of biometric devices are fingerprint, palm, face, and iris scanners. The document also describes one biometric device called Bio-Star 09 and its use for employee attendance tracking and access control.
Biometrics Security System
Biometrics refers to using unique human characteristics for identification. Biometric systems work by recording and comparing biometric traits like fingerprints, iris scans, voice patterns etc. These systems provide fast and accurate identification, making biometrics more secure than traditional security methods. Some key uses of biometric systems include border control, law enforcement, and workplace timekeeping and access control.
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This document provides an overview of biometrics including what biometrics is, why it is used, the history of biometrics, common biometric techniques (e.g. fingerprints, iris scans, facial recognition), and advantages and disadvantages of each technique. It discusses identification vs verification uses of biometrics and covers physical, behavioral, and emerging biometric methods. The document concludes that biometrics provides desirable security characteristics and will continue growing in use for mobile devices, buildings, and more in the coming years.
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Presentation
Advantages
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This document provides an overview of biometrics technologies. It begins with an introduction to biometrics and then discusses the history of biometrics from ancient Egyptians and Chinese using fingerprints to modern systems being developed in the 1970s. The document outlines key characteristics biometrics must have such as universality and permanence. It then classifies and describes various biometric technologies including fingerprint, face, iris, voice, and signature recognition. Application examples are presented for areas like gaming, television control, and accessibility switches. The document concludes that biometrics provide a user-friendly way to interact with devices without passwords while continuing to develop as an emerging field.
Biometric's final ppt
The document defines biometrics as the automatic identification of a person based on physiological or behavioral characteristics. It lists different biometric characteristics including fingerprint, facial recognition, hand geometry, iris scan, and retina scan. It then describes several biometric recognition techniques such as fingerprint recognition, facial recognition, hand geometry, iris recognition, and retina recognition. Finally, it discusses applications of biometrics such as preventing unauthorized access, criminal identification, and improving security in areas like ATMs, cellphones, computers, automobiles, and airports.
Biometrics
This document provides an overview of biometric authentication. It discusses how biometric authentication uses personal features like fingerprints, iris scans, or voice patterns rather than something you have or know. The document outlines the history of biometrics, requirements, enrollment processes, types of errors, example biometric devices, limitations of individual biometrics, and advantages of multimodal biometric systems that fuse multiple biometrics.
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This document provides an overview of biometric authentication techniques. It discusses the three main types of authentication: something you know, something you have, and something you are. Biometrics is defined as using automated methods to identify individuals based on physical or behavioral characteristics. Common biometric traits include fingerprints, face, iris, voice, and signature. The document outlines how biometric systems work, including enrollment, storage, and comparison of biometric data. It also discusses components, modalities, applications, advantages, and disadvantages of biometric authentication.
Fingerprint recognition system by sagar chand gupta
This document provides an overview of fingerprint recognition systems. It defines biometrics and discusses physiological and behavioral characteristics used for identification, including fingerprints. The history of fingerprint analysis and classification of fingerprint patterns are covered. The document explains that fingerprint recognition systems work by acquiring fingerprints, extracting minutiae features, and matching minutiae between samples. Various fingerprint sensor technologies and applications like banking security and access control are also summarized.
Biometric technology
This document discusses various biometric technologies including fingerprint recognition, iris scanning, retina scanning, voice recognition, signature verification, face recognition, and hand geometry recognition. It describes how each type of biometric works, including capturing biometric data, extracting distinguishing features, enrollment, verification, and matching against stored templates. Biometrics are increasingly used for identification and access control because they cannot be lost, stolen, or forgotten like ID cards or passwords. However, biometric systems must also account for changes in biometrics over time.
Fingerprint Technology
A fingerprint in its narrow sense is an impression left by the friction ridges of a human finger.Human fingerprints are detailed, unique, difficult to alter, and durable over the life of an individual making them suitable as long-term markers of human identity and may be employed by police or other authorities to identify individuals who wish to conceal their identity, or to identify people are incapacitated or deceased and thus unable to identify themselves, as in the aftermath of a natural disaster. When this fact is integrated for authentication purpose ,it creates an amazing lock system for Security purpose.Here we discuss what is Information Security ,how it is enhanced with the help of Fingerprint , its advantages, disadvantages.You will get a overall end to end scenario infront of you after going through all the slides. I have presented this topic in the Seminar presentation for completion of my M.Tech in Computer Science & Engineering.
Biometric technology
Biometric technology uses unique human characteristics to identify or verify individuals. Common biometrics include fingerprints, iris patterns, voice recognition and hand geometry. The history of biometrics began in the 1850s with fingerprint identification. A biometric system works by capturing a sample, extracting features, creating a template and matching it to existing templates. Benefits are that biometrics cannot be lost or stolen, while disadvantages include privacy issues and reliability depending on environmental factors. Current applications include border control, driver's licenses, banking and access control. Biometrics is expected to grow in use for security and transactions.
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Fingerprint recognition is a process that compares fingerprints to identify or verify individuals. It involves extracting minutiae features like ridge endings and bifurcations from scanned fingerprints. The process includes image enhancement, binarization, thinning the image to extract minutiae, and matching minutiae between two fingerprints. Fingerprint recognition has applications in security systems due to fingerprints being unique and durable over a person's lifetime. However, high accuracy is needed and fingerprints could be stolen, posing a security threat. Future work involves improving minutiae extraction and matching algorithms.
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This document provides an overview of biometric authentication methods. It discusses various biometric identifiers like fingerprints, iris scans, facial recognition and hand geometry. It describes the basic modules of a biometric system including data acquisition, feature extraction, matching and storage. It also covers performance evaluation metrics and applications of biometric systems in areas like security, customs and immigration.
Biometric Technology
First of all, Thank you for giving this opportunity of presenting my knowledge with you all, hope this is helpful to learn something regarding biometric technology
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This document discusses biometrics technology, including its history, common types of biometrics like fingerprints, facial recognition, iris scans, and voice recognition. It explains how biometrics are unique physical traits that can be used for identification. Some key benefits of biometrics are that they are unique to each individual, provide time-stamped security, and reduce identity fraud. Examples of biometric applications include access control, time and attendance tracking, and border security in airports. However, biometric systems also have disadvantages like cost, potential for errors, and privacy concerns.
Biometrics Technology
There are three main types of authentication: something you know, something you have, and something you are. Biometrics uses biological and behavioral characteristics to identify individuals, such as fingerprints, iris patterns, voice, gait, and signatures. Some common biometric technologies are fingerprint, face, iris, vein, voice, and signature recognition. Biometrics can be used for applications like access control, time/attendance tracking, airports, ATMs, and more. While biometrics provide security benefits, they also have disadvantages like cost, accuracy issues, and privacy concerns. The field continues to evolve as costs decrease and convenience increases.
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This document provides an introduction to identity verification and authentication in computer systems. It discusses how identity was traditionally based on things one has like keys or knows like passwords, but these can be stolen, lost, or forgotten. Biometrics offer a more reliable method of verification based on measurable physiological characteristics like fingerprints. The document outlines three main methods of authentication: something you know (like a password), something you have (like a smart card), and something you are (a biometric). Using two factors together provides greater security than a single factor alone.
Biometrics overview ppt
This document discusses different types of biometrics used for automatic identification of individuals. It describes physiological biometrics such as fingerprints, facial recognition, iris scans, and retina scans. Behavioral biometrics include signature/handwriting and voice recognition. Multi-biometric systems integrate multiple biometrics to improve accuracy. Biometrics provide secure identification without documents but have disadvantages like expense and inapplicability to certain medical conditions. The document concludes that biometrics is a growing field that may replace passwords and keys.
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This presentation discusses biometrics, which refers to using physiological or behavioral characteristics to identify individuals. It covers various biometric methods like fingerprints, iris scans, facial recognition and voice recognition. These can be used for identification or verification purposes. The document also discusses applications of biometrics in areas like border security, ATMs and building access. While biometrics provide improved security, some methods are costly and biometric features may change over time posing challenges. The presentation concludes that adoption of biometrics will be important for security across various sectors going forward.
Biometrics Technology, Types & Applications
This document discusses biometrics technology and its various applications. It describes three main types of authentication: something you know, something you have, and something you are (biometrics). Biometrics refers to using biological and behavioral characteristics to identify individuals. Common physical biometrics include fingerprints, facial features, retina, iris, veins and hand/finger geometry. Behavioral biometrics include keystroke dynamics, voice, gait, and signature. The document outlines several biometric technologies like fingerprint, facial, iris recognition and signature identification. It also discusses applications in security, government, banking, access control and advantages and disadvantages of biometrics.
Biometrics
This document presents an overview of biometric technologies. It defines biometrics as the science of measuring and analyzing biological data for authentication purposes, such as fingerprints, iris patterns, and voice. The document outlines the basic components of biometric systems including readers, software, and databases. It also categorizes biometrics as physiological (face, fingerprints, etc.) or behavioral (signature, voice). The document discusses several biometric modalities like fingerprint, face, iris and voice recognition and their uses. It covers issues around privacy, cancelable biometrics, and soft biometrics. Overall, the document provides a high-level introduction to biometrics and their applications.
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This presentation discusses biometrics, which refers to automatic identification of individuals based on physiological or behavioral characteristics. It describes how biometrics works in identification and verification modes and discusses various types of biometrics like fingerprints, iris scans, facial recognition, and voice recognition. Applications mentioned include criminal identification, border security, ATMs, and building access. Advantages are high security and convenience, while disadvantages include cost, potential changes over time, and privacy concerns. The presentation concludes that adoption of biometrics will help ensure security while technology and security risks continue advancing.
Applications of Biometrics in Technology
Biometric in the field of Computer science ! This is a powerpoint presentation prepared as a first year participation in college presentation competition. Topic - Applications of biometrics in technology. This was my first attempt. Hope it comes in use for people in need of a simple presentation.
Finger print recognition
Fingerprint recognition involves comparing fingerprints to determine if they match. It operates by acquiring fingerprints, extracting minutiae features like ridge endings and bifurcations, and matching minutiae between fingerprints. It has high accuracy but can be affected by dirt or wounds. Applications include banking security, access control, and criminal identification. The presented algorithm accurately and quickly extracts minutiae and identifies corrupted regions for removal.
Biometrics fingerprint
Biometrics is the study of automated identification, by use of physical or behavioural traits.
Check the slide where you will get all the information related to fingerprint technology like how it works, what are the requirements, process, etc.
Biometric Technology
I am Adoitya Kaila .a student of management.here I am presnting a presentation on biometric technology which is considered the most reliable source of security in todays time.i have tried to make it simple for each and everyone .
biometric technology
Technology that identifies you based on your physical or behavioral traits- for added security to confirm that you are who you claim to be.(this ppt is very dear to me as i have given a talk on this topic twice. this also fetched me and migmar first prize at deen dayal upadhyay college- converging vectors - an inter college presentation competition organized by arya bhata science forum)
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This document provides an overview of biometric authentication. It discusses how biometric authentication uses personal features like fingerprints, iris scans, or voice patterns rather than something you have or know. The document outlines the history of biometrics, requirements, enrollment processes, types of errors, example biometric devices, limitations of individual biometrics, and advantages of multimodal biometric systems that fuse multiple biometrics.
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This document provides an overview of biometric authentication techniques. It discusses the three main types of authentication: something you know, something you have, and something you are. Biometrics is defined as using automated methods to identify individuals based on physical or behavioral characteristics. Common biometric traits include fingerprints, face, iris, voice, and signature. The document outlines how biometric systems work, including enrollment, storage, and comparison of biometric data. It also discusses components, modalities, applications, advantages, and disadvantages of biometric authentication.
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This document provides an overview of fingerprint recognition systems. It defines biometrics and discusses physiological and behavioral characteristics used for identification, including fingerprints. The history of fingerprint analysis and classification of fingerprint patterns are covered. The document explains that fingerprint recognition systems work by acquiring fingerprints, extracting minutiae features, and matching minutiae between samples. Various fingerprint sensor technologies and applications like banking security and access control are also summarized.
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This document discusses various biometric technologies including fingerprint recognition, iris scanning, retina scanning, voice recognition, signature verification, face recognition, and hand geometry recognition. It describes how each type of biometric works, including capturing biometric data, extracting distinguishing features, enrollment, verification, and matching against stored templates. Biometrics are increasingly used for identification and access control because they cannot be lost, stolen, or forgotten like ID cards or passwords. However, biometric systems must also account for changes in biometrics over time.
Fingerprint Technology
A fingerprint in its narrow sense is an impression left by the friction ridges of a human finger.Human fingerprints are detailed, unique, difficult to alter, and durable over the life of an individual making them suitable as long-term markers of human identity and may be employed by police or other authorities to identify individuals who wish to conceal their identity, or to identify people are incapacitated or deceased and thus unable to identify themselves, as in the aftermath of a natural disaster. When this fact is integrated for authentication purpose ,it creates an amazing lock system for Security purpose.Here we discuss what is Information Security ,how it is enhanced with the help of Fingerprint , its advantages, disadvantages.You will get a overall end to end scenario infront of you after going through all the slides. I have presented this topic in the Seminar presentation for completion of my M.Tech in Computer Science & Engineering.
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Biometric technology uses unique human characteristics to identify or verify individuals. Common biometrics include fingerprints, iris patterns, voice recognition and hand geometry. The history of biometrics began in the 1850s with fingerprint identification. A biometric system works by capturing a sample, extracting features, creating a template and matching it to existing templates. Benefits are that biometrics cannot be lost or stolen, while disadvantages include privacy issues and reliability depending on environmental factors. Current applications include border control, driver's licenses, banking and access control. Biometrics is expected to grow in use for security and transactions.
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Fingerprint recognition is a process that compares fingerprints to identify or verify individuals. It involves extracting minutiae features like ridge endings and bifurcations from scanned fingerprints. The process includes image enhancement, binarization, thinning the image to extract minutiae, and matching minutiae between two fingerprints. Fingerprint recognition has applications in security systems due to fingerprints being unique and durable over a person's lifetime. However, high accuracy is needed and fingerprints could be stolen, posing a security threat. Future work involves improving minutiae extraction and matching algorithms.
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This document provides an overview of biometric authentication methods. It discusses various biometric identifiers like fingerprints, iris scans, facial recognition and hand geometry. It describes the basic modules of a biometric system including data acquisition, feature extraction, matching and storage. It also covers performance evaluation metrics and applications of biometric systems in areas like security, customs and immigration.
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First of all, Thank you for giving this opportunity of presenting my knowledge with you all, hope this is helpful to learn something regarding biometric technology
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This document discusses biometrics technology, including its history, common types of biometrics like fingerprints, facial recognition, iris scans, and voice recognition. It explains how biometrics are unique physical traits that can be used for identification. Some key benefits of biometrics are that they are unique to each individual, provide time-stamped security, and reduce identity fraud. Examples of biometric applications include access control, time and attendance tracking, and border security in airports. However, biometric systems also have disadvantages like cost, potential for errors, and privacy concerns.
Biometrics Technology
There are three main types of authentication: something you know, something you have, and something you are. Biometrics uses biological and behavioral characteristics to identify individuals, such as fingerprints, iris patterns, voice, gait, and signatures. Some common biometric technologies are fingerprint, face, iris, vein, voice, and signature recognition. Biometrics can be used for applications like access control, time/attendance tracking, airports, ATMs, and more. While biometrics provide security benefits, they also have disadvantages like cost, accuracy issues, and privacy concerns. The field continues to evolve as costs decrease and convenience increases.
Biometric Authentication Technology - Report
This document provides an introduction to identity verification and authentication in computer systems. It discusses how identity was traditionally based on things one has like keys or knows like passwords, but these can be stolen, lost, or forgotten. Biometrics offer a more reliable method of verification based on measurable physiological characteristics like fingerprints. The document outlines three main methods of authentication: something you know (like a password), something you have (like a smart card), and something you are (a biometric). Using two factors together provides greater security than a single factor alone.
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This document discusses different types of biometrics used for automatic identification of individuals. It describes physiological biometrics such as fingerprints, facial recognition, iris scans, and retina scans. Behavioral biometrics include signature/handwriting and voice recognition. Multi-biometric systems integrate multiple biometrics to improve accuracy. Biometrics provide secure identification without documents but have disadvantages like expense and inapplicability to certain medical conditions. The document concludes that biometrics is a growing field that may replace passwords and keys.
Biometrics
This presentation discusses biometrics, which refers to using physiological or behavioral characteristics to identify individuals. It covers various biometric methods like fingerprints, iris scans, facial recognition and voice recognition. These can be used for identification or verification purposes. The document also discusses applications of biometrics in areas like border security, ATMs and building access. While biometrics provide improved security, some methods are costly and biometric features may change over time posing challenges. The presentation concludes that adoption of biometrics will be important for security across various sectors going forward.
Biometrics Technology, Types & Applications
This document discusses biometrics technology and its various applications. It describes three main types of authentication: something you know, something you have, and something you are (biometrics). Biometrics refers to using biological and behavioral characteristics to identify individuals. Common physical biometrics include fingerprints, facial features, retina, iris, veins and hand/finger geometry. Behavioral biometrics include keystroke dynamics, voice, gait, and signature. The document outlines several biometric technologies like fingerprint, facial, iris recognition and signature identification. It also discusses applications in security, government, banking, access control and advantages and disadvantages of biometrics.
Biometrics
This document presents an overview of biometric technologies. It defines biometrics as the science of measuring and analyzing biological data for authentication purposes, such as fingerprints, iris patterns, and voice. The document outlines the basic components of biometric systems including readers, software, and databases. It also categorizes biometrics as physiological (face, fingerprints, etc.) or behavioral (signature, voice). The document discusses several biometric modalities like fingerprint, face, iris and voice recognition and their uses. It covers issues around privacy, cancelable biometrics, and soft biometrics. Overall, the document provides a high-level introduction to biometrics and their applications.
Biometrics
This presentation discusses biometrics, which refers to automatic identification of individuals based on physiological or behavioral characteristics. It describes how biometrics works in identification and verification modes and discusses various types of biometrics like fingerprints, iris scans, facial recognition, and voice recognition. Applications mentioned include criminal identification, border security, ATMs, and building access. Advantages are high security and convenience, while disadvantages include cost, potential changes over time, and privacy concerns. The presentation concludes that adoption of biometrics will help ensure security while technology and security risks continue advancing.
Applications of Biometrics in Technology
Biometric in the field of Computer science ! This is a powerpoint presentation prepared as a first year participation in college presentation competition. Topic - Applications of biometrics in technology. This was my first attempt. Hope it comes in use for people in need of a simple presentation.
Finger print recognition
Fingerprint recognition involves comparing fingerprints to determine if they match. It operates by acquiring fingerprints, extracting minutiae features like ridge endings and bifurcations, and matching minutiae between fingerprints. It has high accuracy but can be affected by dirt or wounds. Applications include banking security, access control, and criminal identification. The presented algorithm accurately and quickly extracts minutiae and identifies corrupted regions for removal.
Biometrics fingerprint
Biometrics is the study of automated identification, by use of physical or behavioural traits.
Check the slide where you will get all the information related to fingerprint technology like how it works, what are the requirements, process, etc.
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Fingerprint recognition system by sagar chand gupta
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I am Adoitya Kaila .a student of management.here I am presnting a presentation on biometric technology which is considered the most reliable source of security in todays time.i have tried to make it simple for each and everyone .
biometric technology
Technology that identifies you based on your physical or behavioral traits- for added security to confirm that you are who you claim to be.(this ppt is very dear to me as i have given a talk on this topic twice. this also fetched me and migmar first prize at deen dayal upadhyay college- converging vectors - an inter college presentation competition organized by arya bhata science forum)
Biometric Technology Introduction
The term “biometrics” is derived from the Greek words “bio” (life) and “metrics” (to measure).
This presentation provides brief introduction about biometric technology and its working.
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Bio-metrics is the science and technology which is used to maintain security.
This technology is used to measure and analyze human body.
Biometric Technology
Biometric technology uses physiological or behavioral characteristics to uniquely identify individuals. As populations grew and mobility increased, identity verification increasingly relied on documents and passwords rather than personal recognition. Biometrics provides a solution by using something unique to each person, like fingerprints, irises, or facial features. An ideal biometric must be universal, unique, permanent, collectable, and acceptable. Systems enroll users by storing biometric templates, then verify or identify individuals by comparing live samples to templates. Common biometrics include fingerprints, irises, retinas, hand geometry, signatures, and faces.
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The document discusses biometrics and fingerprint recognition technologies. It provides an overview of why biometrics are needed due to vulnerabilities in traditional identity methods like passwords. It then describes different biometric modalities like fingerprints, facial recognition, iris scanning, and compares their characteristics. The document explains how fingerprint recognition works from image capture to matching. It outlines fingerprint matching algorithms and challenges. Finally, it discusses applications of fingerprint biometrics and provides a brief history of biometrics.
Biometrics Technology by Capt Awal
N.B- {"Thanks to All the people whose paper helped me a lot to make this presentation."}
Advances in the field of Information Technology also make Information Security an inseparable part of it. In order to deal with security, Authentication plays an important role. This paper presents a review on the biometric authentication techniques and some future possibilities in this field. In biometrics, a human being needs to be identified based on some characteristic physiological parameters. A wide variety of systems require reliable personal recognition schemes to either confirm or determine the identity of an individual requesting their services. The purpose of such schemes is to ensure that the rendered services are accessed only by a legitimate user, and not anyone else. By using biometrics it is possible to confirm or establish an individual’s identity. The position of biometrics in the current field of Security has been depicted in this work. We have also outlined opinions about the usability of bio-metric authentication systems, comparison between different techniques and their advantages and disadvantages in this paper.
email - astractremon@gmail.com
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This webinar discusses how law enforcement agencies are using facial recognition and biometrics technology, specifically Animetrics' ForensicaGPS solution, to identify suspects and further investigations. ForensicaGPS allows investigators to take uncontrolled images like surveillance photos and transform them into 3D models to make the faces identifiable by facial recognition systems. It also provides visualization and comparison tools to manually analyze multiple facial images. The webinar demonstrates ForensicaGPS through case studies of police departments that have used it to identify suspects from surveillance footage and photos.
Biometrics Technology Intresting PPT
very appropiate and good ppt that u can trust , not too long or too short ppt good for college students. plzz share it.
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These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of biometrics are improving rapidly, making many new applications possible, particularly for fingerprinting in phones. Improvements in cameras and other electronics are making optical, capacitive, and ultrasound sensors better. Improvements in microprocessors are making the matching algorithms operate faster and with higher accuracy. We expect biometrics to become widely used in the next few years beginning with smart phones and followed by automobiles, homes, and offices. Better biometrics in smart phones will promote security and mobile commerce.
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This document provides an overview of biometrics. It begins with an introduction explaining that biometrics uses physiological or behavioral characteristics to recognize individuals. It then discusses the history of biometrics, including early uses of fingerprints in China and Scotland Yard. The document outlines the typical working process of biometric systems involving sample capture, extraction, comparison, and match/non-match determination. It also describes some common biometric technologies and methods like fingerprint identification, facial recognition, and voice authentication. Advantages of biometrics include increased security while disadvantages involve potential effects of age or health conditions.
Slide-show on Biometrics
The document discusses the technology of the future. It covers several topics related to biometrics including a brief history, current applications, and the future potential of various biometric technologies such as fingerprints, iris recognition, and voice recognition. The document also discusses how biometric systems work and compares the features and accuracy of different biometric parameters.
Biometric Technology And The Strategy Behind
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Definition, Types of Biometric Identifiers, Factors in Biometrics Systems, Benefits, Criteria for selection of biometrics.
You can find a .PDF document that explains the entire presentation here : https://www.sugarsync.com/pf/D1925164_77526841_812014
Good luck!!
Ict Biometrics & Authentication
Biometrics refers to technologies that measure physical and behavioral characteristics to authenticate identity. Physical biometrics include fingerprints, iris scans, and facial patterns while behavioral biometrics include signatures, gait, and typing patterns. Biometrics have advantages over passwords in that they cannot be lost, shared, or forgotten and require the person to be present. Biometrics are divided into physiological (related to body shape like fingerprints) and behavioral (related to actions like signatures) and can be used for verification, identification, or screening. While biometrics in schools aim to address issues like truancy, opponents argue they invade student privacy by creating large databases.
Biometric Technology and Human Factor Engineering
Biometrics as a global industry is evolving rapidly. With each passing day, more news sprouts up about countries adopting biometric identification technology to secure borders, establish free and fair elections, or tighten airport security. Countries like India have embarked on massive identity campaigns to develop documentation that helps facilitate more equitable social benefit distribution and eliminate government waste and corruption. Governments all over the planet are increasingly evaluating and choosing to adopt biometric identification technology to boost security, eliminate fraud, and establish societal parity by ensuring that entitlements reach those for whom they were intended.
However, using biometrics for identification and authentication reaches far beyond tightening security and eliminating fraud and waste. As biometric deployments spill over into the commercial sector, companies are starting to leverage the technology’s power to encourage employee accountability, lower liabilities, increase efficiencies, and strengthen compliance. Biometric used in business vs. government deployments has fundamentally transformed the dimension of using the technology for security only to using it for convenience in addition to security and other concerns.
In order to achieve success in the new commercial landscape, biometric technology vendors who were once solely accustomed to government specs dictating the parameters and scope of a biometric identification project where end users (most often citizens) had no choice on what biometric modalities to use had to become experts at “human factor engineering” – that is, biometric tech vendors had to more closely study the intersection of people, technology, policy, and work across multiple domains using an interdisciplinary approach that drew from cognitive psychology, organizational psychology, human performance, industrial engineering, and economic theory to design and implement biometric systems that are acceptable and successful in a commercial environment.
Ict Security Measures
Authentication is the process of verifying that a user is who they claim to be when attempting to access a system. There are two main authentication methods: biometric devices and callback systems. Biometric devices use unique personal characteristics like fingerprints, facial features, iris scans, and signatures to digitally identify users. Common biometric devices analyze fingerprints, facial structures, hand measurements, eye iris patterns, retinal scans, voice patterns, and signatures. Authentication helps prevent unauthorized access to systems and protects users' private data.
Biometrics Technology Seminar Report.
This document is a seminar report on biometrics technology submitted by Pavan Kumar M.T. to fulfill requirements for a Bachelor of Engineering degree. The report provides an introduction to biometrics, which uses human physiological or behavioral characteristics to identify individuals. It discusses the history of biometrics and provides a block diagram of typical biometrics systems. It also classifies and describes various biometric techniques including fingerprints, face recognition, hand geometry, iris recognition, speaker recognition, signature recognition, and gesture recognition.
Biometric slideshare
This presentation discusses biometric authentication methods for enhancing security. It covers phases of biometric systems including capture, extraction, comparison and match/no match. Fingerprint recognition is described as the oldest method dating back to 1896 and widely used for criminal identification. The presentation also discusses other biometric techniques like hand geometry recognition, facial recognition analyzing attributes like eye sockets and mouth, voice recognition using formants, iris recognition using unique iris patterns, and emerging biometrics like vein scans, facial thermography, gait recognition, blood pulse, ear shape recognition and odor sensing. Biometric technologies can achieve e-commerce and e-government promises through strong personal authentication and each technique's performance varies by usage and environment.
Biometric Security advantages and disadvantages
Biometrics refers to authentication techniques that rely on measurable physiological and individual characteristics to automatically verify identity. A biometric system uses behavioral or biological traits like fingerprints, iris scans, or voice to identify or verify individuals. Identification involves searching a biometric sample against a database of templates, while verification compares a sample to a single stored template. Biometrics are increasingly used for security applications like access control and transactions due to their convenience and effectiveness compared to traditional authentication methods.
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BIOMETRICS FINGER PRINT TECHNOLOGY
This document discusses fingerprint technology for biometrics. It covers why biometrics are used for identification and authentication, how fingerprint patterns are analyzed and matched using minutiae points, the difference between identification and authentication, applications of fingerprint biometrics, and how it compares to other biometric technologies.
Shueh_biometric_finger.ppt
This document discusses fingerprint technology for biometrics. It begins by explaining why biometrics is useful for security since fingerprints are something unique to each individual that cannot be forgotten or stolen. It then describes how fingerprint patterns are analyzed and the advanced minutiae-based algorithm used to extract features from fingerprints and match fingerprints. The document contrasts identification versus authentication and describes the security and applications of fingerprint recognition technology compared to other biometric methods. It notes fingerprint recognition is a large, growing industry.
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This document discusses fingerprint technology for biometrics. It begins by explaining why biometrics is a useful security solution, as fingerprints are something unique to each individual. It then describes fingerprint patterns and the advanced minutiae-based algorithm used to extract features from fingerprints and match fingerprints. The document contrasts identification versus authentication and discusses the security and applications of fingerprint technology. It also briefly compares fingerprint biometrics to other technologies and notes it is a large, growing industry.
Shueh.pptx
This document discusses fingerprint technology for biometrics. It begins by explaining why biometrics is useful for security since fingerprints are something unique to each individual that cannot be forgotten or stolen. It then describes how fingerprint patterns are analyzed and the advanced minutiae-based algorithm used to extract features from fingerprints and match fingerprints. The document contrasts identification versus authentication and describes security aspects and applications of fingerprint biometrics technology compared to other biometric methods. It notes fingerprint biometrics is a large, growing industry.
biomatrix.ppt
Fingerprint technology uses unique fingerprint patterns to identify and authenticate individuals. It captures fingerprint images using optical or capacitive sensors and extracts distinctive minutiae features. An advanced minutiae-based algorithm then matches input fingerprints to templates in a database for identification, or to a single template for verification. Fingerprint biometrics provides highly accurate identification at a low cost and is seeing increasing usage across applications due to its convenience compared to other biometrics like voice or iris recognition. It has become a major industry due to the need to reliably protect sensitive personal information.
Atm using fingerprint
The document discusses using fingerprint biometrics for authentication in ATM machines. Fingerprints provide high universality, distinctiveness, permanence and performance making them suitable for biometric authentication. The technical processes of minutiae extraction from fingerprints and the biometric system workflow are described. Applications of fingerprint ATMs include added security for banking, membership verification, and food/ticket purchases. Potential disadvantages include false acceptance and rejection rates and issues with certain users. Future areas of development include improved matching algorithms and database security to further enhance fingerprint biometrics for ATM authentication.
fingerprint_ information _technology.ppt
Fingerprints have long been used for identification and are considered a primary biometric technology. Fingerprints are unique to each individual and easy to use, cheap, small, and non-intrusive. Fingerprints are classified into loops, whorls, and arches, with loops making up 60-65% of fingerprints. Feature extraction involves enhancing ridges, extracting minutiae points like bifurcations and endings, and calculating coordinates and angles to allow for matching fingerprints in a database.
Palm vein technology ppt
The document discusses palm vein biometric authentication technology. It provides an overview of biometric technologies including fingerprint, face, iris, and palm vein scans. Palm vein technology uses infrared light to scan the vein patterns in the palm, which are unique to each individual, for identity verification purposes. The technology provides highly accurate authentication with false acceptance and rejection rates of 0.00008% and 0.01%. It has applications in banking, computers, ID cards, hospitals, and industries due to its accuracy, speed, and difficulty to forge.
Finger print ATM
This document discusses using fingerprint biometrics for authentication in ATM machines. It defines ATMs and outlines issues with current identification methods like stolen cards and shared PINs. Fingerprint biometrics could solve these issues through multi-factor authentication combining cards, PINs, and fingerprints. The document then covers fingerprint patterns, how fingerprint scanners work to enroll and verify prints, and the system design of a biometric ATM including hardware and software components. Potential advantages are discussed like increased security over shared passwords, with disadvantages including higher costs.
Biometrics
Biometrics refers to authentication techniques that rely on measurable physical characteristics. There are several types of biometric identification including face, fingerprints, hand geometry, retina, iris, signature, and voice. Biometric characteristics can be physiological, related to the body, or behavioral, related to a person's actions. A biometric system works by enrolling individuals through storing biometric information, then detecting and comparing live biometrics during subsequent uses. Common biometric technologies include fingerprint scans, iris scans, and hand scans. Biometrics are used for physical access control, computer authentication, financial security, and other applications.
Ranjith_Bm
This document discusses various biometric identification techniques including 3D facial recognition, iris recognition, and keystroke dynamics. It provides details on how each method works, advantages, limitations, and applications. 3D facial recognition involves capturing a facial image and transforming it into a unique face print using elastic graph matching algorithms to allow identification from several meters away. Iris recognition uses the colored iris surrounding the eye which is stable over a person's lifetime allowing identification with low error rates. Keystroke dynamics analyzes typing patterns such as keystroke duration and pressure to continuously authenticate computer users with minimal hardware requirements.
It's about biometric system L10A_Savvides_Biometrics.pdf
This document provides an introduction to biometric technologies and applications. It discusses some of the common problems with traditional security systems like passwords, including passwords being forgotten, stolen, or cracked. Biometric technologies provide an alternative for verifying or identifying individuals based on unique physiological or behavioral characteristics. Examples of biometric modalities discussed include fingerprints, face recognition, iris recognition, and voice recognition. Applications of biometric technologies include identification by matching against a database and verification by comparing to an enrolled template.
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This document introduces a team working on biometric technology and provides an overview of biometrics. It defines biometrics as automated methods of identifying or verifying a person's identity based on physiological or behavioral characteristics. The document outlines several types of biometric technologies including fingerprint, hand, iris, facial, voice, signature, and keystroke recognition. It provides examples of current uses of biometrics such as for network security, non-network based security, and in sensitive environments like schools, businesses, and law enforcement.
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sagarppt111111-150929182421-lva1-app6891.pptx
This presentation provides an overview of fingerprint recognition systems. It defines biometrics and fingerprints, explaining that fingerprints are unique to each individual. The document outlines the history of fingerprint analysis and describes the key aspects of fingerprint patterns. It then explains how fingerprint recognition systems work, involving fingerprint acquisition, minutia extraction, and minutia matching. Different types of fingerprint sensors and applications of fingerprint recognition technology are also summarized.
Fingerprint information hiding secur.ppt
Fingerprints have long been used for identification. They are classified into major patterns of loops, whorls, and arches. Fingerprint databases contain millions of prints classified this way to speed up searches. Algorithms extract unique minutiae points from fingerprints for identification and authentication purposes. Authentication performs a 1:1 comparison to verify a claimed identity, while identification does a slower 1:N search of the entire database. Sensors also help ensure the fingerprint is from a live person, not a fake or severed finger. Fingerprint biometrics have many applications including security systems.
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This document discusses various types of biometrics that can be used for authentication, including hard biometrics like fingerprints, soft biometrics like build and mannerisms, and behavioral biometrics like gait and typing patterns. It notes that biometrics can be classified based on what is analyzed, such as frequency for speech or speed and pressure for signatures. The document also discusses common biometric sensors, methodologies for analyzing sensor data, and the benefits and disadvantages of different biometric factors and sensors. It promotes the idea that continuous authentication using multiple biometrics can provide more secure access than single-factor authentication.
Fingerprint
Fingerprint identification is commonly used for biometric identification. Fingerprints are analyzed by their patterns (loops, whorls, arches) and ridge characteristics (minutiae). Most automatic fingerprint identification systems (AFIS) match minutiae features. The document proposes using soft computing techniques like neural networks and fuzzy logic to improve an AFIS. It describes a 5-layer network that uses minutiae extraction from divided fingerprint blocks to classify fingerprints hierarchically and reduce errors. Potential applications include security access, mobile unlock systems, driver's licenses, and national ID programs.
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biometric technology
- 2. Agenda ♦ Why Biometrics? ♦ Fingerprint Patterns ♦ Advanced Minutiae Based Algorithm ♦ Identification vs. Authentication ♦ Security ♦ Applications ♦ Versus other Biometric Technologies ♦ Industry
- 4. Why Biometrics? Know Password, PIN Have Key, Smart Card Are Fingerprint, Face, Iris ♦ Biometrics is a security solution based on something you know, have, and are:
- 5. Why Biometrics? ♦ Passwords are not reliable. – Too many – Can be stolen – Forgotten ♦ Protect Sensitive Information – Banking – Medical
- 6. Why Biometrics? ♦ Has been used since 14th century in China – Reliable and trusted ♦ Will never leave at home ♦ Fingerprints are unique – Everyone is born with one ♦ 80% of public has biometric recorded
- 8. Fingerprint Patterns ♦ 6 classes of patterns
- 9. Fingerprint Patterns ♦ Minutiae – Crossover: two ridges cross each other – Core: center – Bifurcation: ridge separates – Ridge ending: end point – Island: small ridge b/w 2 spaces – Delta: space between ridges – Pore: human pore
- 11. Fingerprint Patterns ♦ Two main technologies used to capture image of the fingerprint – Optical – use light refracted through a prism – Capacitive-based – detect voltage changes in skin between ridges and valleys
- 12. Advanced Minutiae Based Algorithm (AMBA)
- 13. Advanced Minutiae Based Algo ♦ Advanced Minutiae Based Algorithm – Developed by Suprema Solutions – Two processes • Feature Extractor • Matcher
- 15. Advanced Minutiae Based Algo ♦ Feature Extractor – Core of fingerprint technology – Capture and enhance image – Remove noise by using noise reduction algorithm – Processes image and determines minutiae • Most common are ridge endings and points of bifurcation • 30-60 minutia
- 16. Advanced Minutiae Based Algo ♦ Feature Extractor – Capture Image – Enhance Ridge – Extract Minutiae
- 17. Advanced Minutiae Based Algo ♦ Feature Extractor – Most frequently used minutiae in applications • Points of bifurcation • Ridge endings
- 18. Advanced Minutiae Based Algo ♦ Feature Extractor – Minutiae Coordinate and Angle are calculated – Core is used as center of reference (0,0)
- 19. Advanced Minutiae Based Algo ♦ Matcher – Used to match fingerprint – Trade-off between speed and performance – Group minutiae and categorize by type • Large number of certain type can result in faster searches
- 20. Identification vs. Authentication ♦ Identification – Who are you? – 1 : N comparison – Slower – Scan all templates in database ♦ Authentication – Are you John Smith? – 1 : 1 comparison – Faster – Scan one template
- 21. Security ♦ Accuracy – 97% will return correct results – 100% deny intruders ♦ Image – Minutiae is retrieved and template created • Encrypted data – Image is discarded • Cannot reconstruct the fingerprint from data
- 22. Security ♦ Several sensors to detect fake fingerprints – Cannot steal from previous user • Latent print residue (will be ignored) – Cannot use cut off finger • Temperature • Pulse • Heartbeat sensors • Blood flow
- 23. Applications
- 24. Applications
- 25. Versus other Biometric Technologies Technology Accuracy Convenience Cost Size Fingerprint 5 5 4 4 Voice 1 5 5 5 Face 2 3 4 3 Hand 3 3 2 2 Iris 5 2 3 3 1 (worst) – 5 (best)
- 27. Industry ♦ Hot market ♦ Lots of $$$
- 28. Conclusion ♦ Want to protect information ♦ Passwords are not reliable; forget ♦ Fingerprints have been used for centuries ♦ Fingerprints are unique; can verify ♦ Very accurate ♦ Lots of applications being developed ♦ Hot market. Lots of $$$