Biometric technologies
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Biometric technologies focus on verifying and identifying people using their biological (anatomical, physiological and behavioral) features. Biometric technologies are generally considered to be the implementation of pattern recognition algorithms because they are intended to identify people.
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Multi-Biometric Authentication through Hybrid Cryptographic System
In most of the real time scenario, authentication is required very much so as to enable the person to access a private database of any type. Researchers have started using biometric traits for the authenticity of a person. The various biometrics traits available are face, iris, palm print, hand geometry, fingerprint, ear etc., But the application that uses a single biometric trait often have to challenge with noisy data, restricted degrees of autonomy, non-universality of the biometric trait and intolerable error rates. Multi biometric systems seem to lighten these drawbacks by providing multiple verification of the same personality. Biometric fusion is the use of multiple biometric inputs or methods of processing to improve performance. In this paper, a novel combination of Multi biometric fusion, Symmetric Cryptography and Asymmetric Cryptography is proposed. A fused biometric image is encrypted using Advanced Encryption Standard whose secret key is in turn encrypted using elliptic curve cryptography which is considered as one of the efficient Asymmetric cryptographic algorithms. As the symmetric cryptographic algorithms involve in key exchange mechanism, the secret key is proposed to be secured by using ECC. Hence, the system proposed is expected to be more secured to store the biometric traits of an individual.
Biometrics Identification Projects Research Help
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Iot based e textiles
Abstract : Smart textiles or E-Textiles are the fabrics that have been created by embedding smart wearables into garments. Clothing is the only wearable that can be adjust to our everyday lifestyle over the course of a lifetime. It appears as a strong candidate to become the next interface between the real and the digital world by replacing or extending the use of smartphones and other portable connected devices. . During the last few decades we have witnessed the increase in the demand of smart textiles based on IoT i.e. smart sportswear, smart dresses for army personals, smart medical textiles etc. IoT refers to a system in which many computing devices, mechanical and digital machines, objects, animals or people are interrelated and are provided with a unique identification, Have the ability to transfer data over a network without requiring interaction between human to human or human to computer. These textiles have huge potential applications, such as the ability to communicate with other devices, transform into other materials, conduct energy and protect the wearer from environmental hazards. In the present time when all are concerned about their health so these Smart textiles can help to monitor their health parameters such as heart rate, perspiration rate, calorie count, sleep monitoring, body temperature through which we can do a simple self-assessment of our health. These functionalities can be achieved by incorporating different sensors into the garments. The basic material used to construct these smart textiles are conductive threads and yarns that can be pure metal based or blended with natural fibres, conductive polymer coated and special carbon based yarns. These smart textiles can sense and react to environmental conditions or stimuli, from mechanical, thermal, magnetic, chemical, electrical, or other sources. This paper focuses on the application of wearable smart textiles or e-textiles.
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Biometrics and its hacking
This document summarizes biometrics and its hacking. It begins with an introduction to biometrics and how it connects to computers for authentication purposes. It then discusses various biometric parameters and methods of how biometric systems work. The document outlines current applications of biometrics and the future of the field. It notes that while biometrics has advantages for security, it also has flaws that can be hacked, such as creating fake fingerprints or exploiting how templates are stored. However, the conclusion maintains that biometrics still offer strong security when used as part of a full security system.
Biomatric technology
This document discusses biometrics and how biometric systems work. It defines biometrics as using physiological or behavioral characteristics to identify individuals uniquely. Common biometric types include fingerprints, iris scans, hand geometry, and facial recognition. Biometric systems work by enrollment, where a biometric sample is captured and stored as a template, and authentication, where a new sample is compared to stored templates. The document also covers biometric standards, advantages like increased security over passwords, disadvantages like privacy concerns, and applications for access control and verification.
Biometrics Essay
The document discusses biometrics and provides context on its history and uses. Biometrics is defined as using human physical characteristics to verify identity, and has been used since ancient times, though recent technological advances have enabled more sophisticated biometric identification systems. The document explores the evolution of biometrics technology over time, from early uses of fingerprints to modern applications like iris scans and DNA analysis. It also examines the advantages and limitations of different biometric methods.
Ppt on use of biomatrix in secure e trasaction
Biometrics refers to authentication techniques that rely on measurable physiological and individual characteristics to automatically verify identity. There are two main types of biometrics: physiological, which relate to the body shape like fingerprints, retina, and face; and behavioral, which relate to behaviors like voice, handwriting, and typing patterns. Biometric systems use verification to compare a sample to a single stored template or identification to search a sample against a database of templates to resolve a person's identity. While biometrics can provide strong authentication for applications like secure banking, border control, and access control, they are not perfect and have limitations like cost, accuracy, and privacy concerns.
Ppt on use of biomatrix in secure e trasaction
Biometrics refers to authentication techniques that rely on measurable physiological and individual characteristics to automatically verify identity. There are two main types of biometrics: physiological, which relate to the body shape like fingerprints, retina, and face; and behavioral, which relate to behaviors like voice, handwriting, and typing patterns. Biometric systems use verification to compare a sample to a single stored template or identification to search a sample against a database of templates to resolve a person's identity. While biometrics can provide strong authentication for applications like secure banking, border control, and access control, they are not perfect and have limitations like cost, accuracy, and privacy concerns.
Recommended
Multi-Biometric Authentication through Hybrid Cryptographic System
In most of the real time scenario, authentication is required very much so as to enable the person to access a private database of any type. Researchers have started using biometric traits for the authenticity of a person. The various biometrics traits available are face, iris, palm print, hand geometry, fingerprint, ear etc., But the application that uses a single biometric trait often have to challenge with noisy data, restricted degrees of autonomy, non-universality of the biometric trait and intolerable error rates. Multi biometric systems seem to lighten these drawbacks by providing multiple verification of the same personality. Biometric fusion is the use of multiple biometric inputs or methods of processing to improve performance. In this paper, a novel combination of Multi biometric fusion, Symmetric Cryptography and Asymmetric Cryptography is proposed. A fused biometric image is encrypted using Advanced Encryption Standard whose secret key is in turn encrypted using elliptic curve cryptography which is considered as one of the efficient Asymmetric cryptographic algorithms. As the symmetric cryptographic algorithms involve in key exchange mechanism, the secret key is proposed to be secured by using ECC. Hence, the system proposed is expected to be more secured to store the biometric traits of an individual.
Biometrics Identification Projects Research Help
Entity’s Uses
Movement of Biometric System
Up-to-date Developments
Area of Application
Process of Biometrics
Iot based e textiles
Abstract : Smart textiles or E-Textiles are the fabrics that have been created by embedding smart wearables into garments. Clothing is the only wearable that can be adjust to our everyday lifestyle over the course of a lifetime. It appears as a strong candidate to become the next interface between the real and the digital world by replacing or extending the use of smartphones and other portable connected devices. . During the last few decades we have witnessed the increase in the demand of smart textiles based on IoT i.e. smart sportswear, smart dresses for army personals, smart medical textiles etc. IoT refers to a system in which many computing devices, mechanical and digital machines, objects, animals or people are interrelated and are provided with a unique identification, Have the ability to transfer data over a network without requiring interaction between human to human or human to computer. These textiles have huge potential applications, such as the ability to communicate with other devices, transform into other materials, conduct energy and protect the wearer from environmental hazards. In the present time when all are concerned about their health so these Smart textiles can help to monitor their health parameters such as heart rate, perspiration rate, calorie count, sleep monitoring, body temperature through which we can do a simple self-assessment of our health. These functionalities can be achieved by incorporating different sensors into the garments. The basic material used to construct these smart textiles are conductive threads and yarns that can be pure metal based or blended with natural fibres, conductive polymer coated and special carbon based yarns. These smart textiles can sense and react to environmental conditions or stimuli, from mechanical, thermal, magnetic, chemical, electrical, or other sources. This paper focuses on the application of wearable smart textiles or e-textiles.
Keywords: IoT based smart textiles, Wearable textiles, Sensors, Conductive polymers and Yarns
Biometrics and its hacking
This document summarizes biometrics and its hacking. It begins with an introduction to biometrics and how it connects to computers for authentication purposes. It then discusses various biometric parameters and methods of how biometric systems work. The document outlines current applications of biometrics and the future of the field. It notes that while biometrics has advantages for security, it also has flaws that can be hacked, such as creating fake fingerprints or exploiting how templates are stored. However, the conclusion maintains that biometrics still offer strong security when used as part of a full security system.
Biomatric technology
This document discusses biometrics and how biometric systems work. It defines biometrics as using physiological or behavioral characteristics to identify individuals uniquely. Common biometric types include fingerprints, iris scans, hand geometry, and facial recognition. Biometric systems work by enrollment, where a biometric sample is captured and stored as a template, and authentication, where a new sample is compared to stored templates. The document also covers biometric standards, advantages like increased security over passwords, disadvantages like privacy concerns, and applications for access control and verification.
Biometrics Essay
The document discusses biometrics and provides context on its history and uses. Biometrics is defined as using human physical characteristics to verify identity, and has been used since ancient times, though recent technological advances have enabled more sophisticated biometric identification systems. The document explores the evolution of biometrics technology over time, from early uses of fingerprints to modern applications like iris scans and DNA analysis. It also examines the advantages and limitations of different biometric methods.
Ppt on use of biomatrix in secure e trasaction
Biometrics refers to authentication techniques that rely on measurable physiological and individual characteristics to automatically verify identity. There are two main types of biometrics: physiological, which relate to the body shape like fingerprints, retina, and face; and behavioral, which relate to behaviors like voice, handwriting, and typing patterns. Biometric systems use verification to compare a sample to a single stored template or identification to search a sample against a database of templates to resolve a person's identity. While biometrics can provide strong authentication for applications like secure banking, border control, and access control, they are not perfect and have limitations like cost, accuracy, and privacy concerns.
Ppt on use of biomatrix in secure e trasaction
Biometrics refers to authentication techniques that rely on measurable physiological and individual characteristics to automatically verify identity. There are two main types of biometrics: physiological, which relate to the body shape like fingerprints, retina, and face; and behavioral, which relate to behaviors like voice, handwriting, and typing patterns. Biometric systems use verification to compare a sample to a single stored template or identification to search a sample against a database of templates to resolve a person's identity. While biometrics can provide strong authentication for applications like secure banking, border control, and access control, they are not perfect and have limitations like cost, accuracy, and privacy concerns.
Feature Level Fusion of Multibiometric Cryptosystem in Distributed System
ABSTRACT: Multibiometrics is the combination of one or more biometrics (e.g., Fingerprint, Iris, and Face). Researchers
are focusing on how to provide security to the system, the template which was generated from the biometric need to be
protected. The problems of unimodal biometrics are solved by multibiometrics. The main objective is to provide a security to
the biometric template by generating a secure sketch by making use of multibiometric cryptosystem and which is stored in a
database. Once the biometric template is stolen it becomes a serious issue for the security of the system and also for user
privacy. In the existing approach, feature level fusion is used to combine the features securely with well-known biometric
cryptosystems namely fuzzy vault and fuzzy commitment. The drawbacks of existing system include accuracy of the biometric
need to be improved and the noises in the biometrics also need to be reduced. The proposed work is to enhance the security
using multibiometric cryptosystem in distributed system applications like e-commerce transactions, e-banking and ATM.
Keywords: Biometric Cryptosystem, Error correcting code, Fingerprint, Iris, Multibiometrics, Unimodal biometrics.
Biometric of technology.ppt
This document discusses biometrics, which uses physiological or behavioral characteristics to identify individuals. It outlines the history of biometrics dating back to fingerprint use in China in the 14th century. Various biometric techniques are described like fingerprints, facial recognition, iris scans, and hand geometry. Biometrics works by recording and comparing these characteristics using biometric devices and databases. Applications of biometrics include access control systems, e-commerce, banking, and crime investigation. While biometrics provides security, issues around privacy, identity risks, and technology limitations require consideration.
(2007) Image Quality and Minutiae Count Comparison for Genuine and Artificial...
(2007) Image Quality and Minutiae Count Comparison for Genuine and Artificial...International Center for Biometric Research
The vulnerabilities of biometric sensors have been
discussed extensively in the literature and popularized in films and
television shows. This research examines the image quality of an
artificial print as compared to a genuine finger, and examines the
characteristics of the two, including minutiae counts and image
quality, as repeated samples are taken.Biometricsppt
This document provides an introduction to biometric authentication. It discusses how biometric authentication uses physical and behavioral characteristics to identify individuals. Some benefits of biometric authentication over traditional methods like passwords are that biometric traits cannot be lost or stolen. The document then describes various biometric modalities (or traits) that can be used, including fingerprints, iris scans, facial recognition, DNA, gait, signatures, voice, and keystrokes. It also discusses how biometric systems work and potential sources of error in biometric identification.
Jss academy of technical education
This document is a report on biometric sensors written by Arhind Kumar Gautam for his Information Technology department. It contains an introduction to biometric sensors, a history of biometrics, definitions of biometric terms, descriptions of different types of biometric sensors including physical (fingerprint, face recognition, retina scan) and behavioral (voice recognition, signature) biometrics. It also discusses future applications of biometrics and provides a conclusion on biometric sensors.
Role of fuzzy in multimodal biometrics system
This document summarizes a research paper on using fuzzy logic in a multimodal biometrics system combining face, ear, and foot recognition. It discusses how unimodal biometric systems have limitations that multimodal systems aim to overcome through data fusion. The methodology uses eigenfaces for face recognition, eigenimages for ear recognition, and sequential modified Haar transform for foot recognition. Scores are normalized and fused using fuzzy logic rules. Highest matching was found when fusing face and ear, lowest when fusing ear and foot. The fuzzy multimodal system enhanced identification accuracy over unimodal systems.
Biometrics - Chapter 1 Introduction.pptx
The document discusses biometric security and authentication techniques. It defines biometrics as automated methods of identifying individuals based on physiological or behavioral characteristics. Some examples provided include fingerprints, voice, iris, retina, hand geometry, and others. Biometric systems can be used for verification, where they confirm an identity claim, or identification, where they determine an unknown individual's identity from a database. Key factors in biometric systems include false acceptance and false rejection rates, throughput, and total cost. The document also discusses different types of biometric techniques and their appropriate uses.
(2009) Human-Biometric Sensor Interaction: Impact of Training on Biometric Sy...
(2009) Human-Biometric Sensor Interaction: Impact of Training on Biometric Sy...International Center for Biometric Research
Increasingly sophisticated biometric methods are being used for a
variety of applications in which accurate authentication of people is necessary.
Because all biometric methods require humans to interact with a device of some
type, effective implementation requires consideration of human factors issues.
One such issue is the training needed to use a particular device appropriately.
In this paper, we review human factors issues in general that are associated with
biometric devices and focus more specifically on the role of training.Behavioral biometrics (1)
Behavioral biometrics is the field of study connected with the proportion of extraordinarily recognizing and quantifiable examples in human exercises. The term stands out from actual biometrics, which includes inborn human attributes, for example, fingerprints or iris designs.
1Ethical Biometric Use23 Feb 2020Table of Cont.docx
1
Ethical Biometric Use
23 Feb 2020
Table of Contents
Introduction
Public Safety Agencies Using Biometrics and the Types Used
Techniques and Capabilities for Gathering Biometric Data
Ethical and Unethical Application of Biometric Data
Rules Affecting the Gathering and Use of Biometric Data
Conclusion
References
2
Introduction
The use of biometrics by public safety agencies in the United States provides both benefits and cause of ethical concerns. As public safety administrators integrate biometrics into their practices, care should be taken to understand the capabilities of technologies as well as their ethical use.
3
Public Safety Agencies Using Biometrics and the Types Used
Agencies
Law enforcement agencies
Rescue services
Criminal investigation agencies
Firefighting agencies
Transportation Security Administration (TSA)
4
Public Safety Agencies Using Biometrics and the Types Used
Uses
Police use facial recognition, iris recognition and Automated Fingerprint Identification System (AFIS) among other biometric technologies to identify suspects accurately and quickly from millions of records (Purshouse & Campbell, 2019).
The biometric technology adopted in such public safety agencies is the use of DNA testing.
Criminal investigators use fingerprint matching processes to identify the fingerprint patterns of criminal.
Some of the biometric technologies used is AFIS and facial recognition for commanders to prove that the firefighter was actually present, should anything happen.
The TSA implemented detection technology to single out dangerous materials that passengers may be carrying in order to use them later to harm the public (Zhang, 2019). A biometric identification mechanisms was implemented to verify the passengers travelling to, from and within the country. Such technologies include iris scans, fingerprint scanning or a combination of both.
5
Techniques and Capabilities for Gathering Biometric Data
DNA Matching
Analysis of segments of DNA
Ear Geography
Shape of the ear
Eye Recognition
Iris – Features found around the iris
Retina – Patterns of veins in the back of the eye
Face Thermography
Facial features or patterns
Finger Recognition
Fingerprint – Ridges and valleys (Minutiae) on tips of fingers
Finger Geometry – 3D geometry of finger
Hand Geometry Recognition
Length of fingers
Width of hand
Vein Recognition
Vein patterns in finger or palm
6
Techniques and Capabilities for Gathering Biometric Data
Odor Recognition
Analysis of individuals odor
Typing and Mouse Recognition
Typing features – inter-stroke latency, time durations between keystrokes, dwell times
Mouse features – movement, drag and drop, stillness, point and click
Voice-Speaker Identification
Analysis of voice – pronunciation, pitch, tone, cadence
Gait
Individuals walking style
Signature Recognition
Analysis of handwriting style
Static
Visual Comparison between scanned signatures
Dynamic
Anatomic and behavioral characteristics when sign ...
1Ethical Biometric Use23 Feb 2020Table of Cont.docx
1
Ethical Biometric Use
23 Feb 2020
Table of Contents
Introduction
Public Safety Agencies Using Biometrics and the Types Used
Techniques and Capabilities for Gathering Biometric Data
Ethical and Unethical Application of Biometric Data
Rules Affecting the Gathering and Use of Biometric Data
Conclusion
References
2
Introduction
The use of biometrics by public safety agencies in the United States provides both benefits and cause of ethical concerns. As public safety administrators integrate biometrics into their practices, care should be taken to understand the capabilities of technologies as well as their ethical use.
3
Public Safety Agencies Using Biometrics and the Types Used
Agencies
Law enforcement agencies
Rescue services
Criminal investigation agencies
Firefighting agencies
Transportation Security Administration (TSA)
4
Public Safety Agencies Using Biometrics and the Types Used
Uses
Police use facial recognition, iris recognition and Automated Fingerprint Identification System (AFIS) among other biometric technologies to identify suspects accurately and quickly from millions of records (Purshouse & Campbell, 2019).
The biometric technology adopted in such public safety agencies is the use of DNA testing.
Criminal investigators use fingerprint matching processes to identify the fingerprint patterns of criminal.
Some of the biometric technologies used is AFIS and facial recognition for commanders to prove that the firefighter was actually present, should anything happen.
The TSA implemented detection technology to single out dangerous materials that passengers may be carrying in order to use them later to harm the public (Zhang, 2019). A biometric identification mechanisms was implemented to verify the passengers travelling to, from and within the country. Such technologies include iris scans, fingerprint scanning or a combination of both.
5
Techniques and Capabilities for Gathering Biometric Data
DNA Matching
Analysis of segments of DNA
Ear Geography
Shape of the ear
Eye Recognition
Iris – Features found around the iris
Retina – Patterns of veins in the back of the eye
Face Thermography
Facial features or patterns
Finger Recognition
Fingerprint – Ridges and valleys (Minutiae) on tips of fingers
Finger Geometry – 3D geometry of finger
Hand Geometry Recognition
Length of fingers
Width of hand
Vein Recognition
Vein patterns in finger or palm
6
Techniques and Capabilities for Gathering Biometric Data
Odor Recognition
Analysis of individuals odor
Typing and Mouse Recognition
Typing features – inter-stroke latency, time durations between keystrokes, dwell times
Mouse features – movement, drag and drop, stillness, point and click
Voice-Speaker Identification
Analysis of voice – pronunciation, pitch, tone, cadence
Gait
Individuals walking style
Signature Recognition
Analysis of handwriting style
Static
Visual Comparison between scanned signatures
Dynamic
Anatomic and behavioral characteristics when sign.
Biometric Security Poses Huge Privacy Risks in Kenya
1. This paper investigates the personal and informational privacy concerns regarding biometric technology in Kenya. It examines legal reviews and identifies potential risks with biometric data storage and use.
2. Biometrics are increasingly used for authentication in Kenya without fully considering privacy risks. Key risks include spoofing biometric data, intercepting biometric data transmitted over networks, system errors from power outages, and residual biometric traces allowing unauthorized access.
3. The paper analyzes Kenya's legal framework for privacy and guidelines for implementing biometric systems. While biometric technology promises better security and convenience, its widespread use also risks privacy violations that must be mitigated through legal reforms and technical controls.
Biometric technologies and applications
The document discusses biometric technologies and applications. Biometrics refers to technologies that measure physiological or behavioral characteristics to identify or verify individuals. These characteristics include fingerprints, iris scans, facial recognition, gait, and signatures. Contemporary systems use multiple biometrics to increase reliability. Synthetic biometrics can also be generated to improve existing identification systems or for training. However, synthetic biometrics raise ethical issues around forgery and privacy.
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.
Biometric System Concepts and Attacks
Biometric System Concepts and Attacks
Prepared By:
Saif Salah & Rafah Amer Jaafar
Supervisor
Dr. Bashar M. Nema
What Is Biometric Authentication? A Complete Overview | Enterprise Wired
This article explores the intricacies of biometric authentication, its diverse applications, the underlying technologies, and the potential it holds in revolutionizing the landscape of digital security.
Biometric Systems
This document summarizes a presentation on biometric systems. It begins by defining biometric systems as automated methods of identifying individuals based on physiological or behavioral characteristics. It then outlines the objectives of exploring biometric applications in management. It discusses types of biometrics like fingerprints and facial recognition. It explains how biometric systems work by enrolling reference templates and comparing them to new samples. It also covers benefits of biometric systems like security, convenience and accountability. Risks are discussed along with recommendations to ensure security of biometric data. The document concludes by noting biometric systems require careful risk analysis and implementation based on the environment.
A Comparison Based Study on Biometrics for Human Recognition
Abstract: A biometric system provides automatic recognition of an individual based on a unique feature or
characteristic possessed by the individual. These biometric characteristic may physiological or behavioral.
Unlike other identification methods such as id proof, tokens and password, the distinct aspect of biometric
recognition comes into light from randomly distributed features in human being. In this paper, I describe the
novel comparison based upon various aspects to make easy selection for biometric device deployment in specific
environment. This paper proposes a comparison among all kind of biometric system available in the society.
The existing computer security systems used at various places like banking, passport, credit cards, smart cards,
PIN , access control and network security are using username and passwords for person identification.
Biometric systems also introduce an aspect of user convenience; it means one can be authorized by representing
himself or herself. In this paper, the main focus is on working principal of biometric technique, the various
biometrics systems and their comparisons.
Keywords: Biometrics, authentication, identification, recognition
Antispoofing in face biometrics: A comprehensive study on software-based tech...
The vulnerability of the face recognition system to spoofing attacks has piqued the biometric community's interest, motivating them to develop anti-spoofing techniques to secure it. Photo, video, or mask attacks can compromise face biometric systems (types of presentation attacks). Spoofing attacks are detected using liveness detection techniques, which determine whether the facial image presented at a biometric system is a live face or a fake version of it. We discuss the classification of face anti-spoofing techniques in this paper. Anti-spoofing techniques are divided into two categories: hardware and software methods. Hardware-based techniques are summarized briefly. A comprehensive study on software-based countermeasures for presentation attacks is discussed, which are further divided into static and dynamic methods. We cited a few publicly available presentation attack datasets and calculated a few metrics to demonstrate the value of anti-spoofing techniques.
International Journal of Engineering Research and Development (IJERD)
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Foundation of e- commerce-basic introduction
Electronic commerce( e- commerce) is a relatively new area of business management and information technology and is continually changing with the technological advancement. E-commerce has four driving factors- social, technological, economic, and political and impact upon a wide range of different areas.
The GMAT- an overall look to the exam
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Feature Level Fusion of Multibiometric Cryptosystem in Distributed System
ABSTRACT: Multibiometrics is the combination of one or more biometrics (e.g., Fingerprint, Iris, and Face). Researchers
are focusing on how to provide security to the system, the template which was generated from the biometric need to be
protected. The problems of unimodal biometrics are solved by multibiometrics. The main objective is to provide a security to
the biometric template by generating a secure sketch by making use of multibiometric cryptosystem and which is stored in a
database. Once the biometric template is stolen it becomes a serious issue for the security of the system and also for user
privacy. In the existing approach, feature level fusion is used to combine the features securely with well-known biometric
cryptosystems namely fuzzy vault and fuzzy commitment. The drawbacks of existing system include accuracy of the biometric
need to be improved and the noises in the biometrics also need to be reduced. The proposed work is to enhance the security
using multibiometric cryptosystem in distributed system applications like e-commerce transactions, e-banking and ATM.
Keywords: Biometric Cryptosystem, Error correcting code, Fingerprint, Iris, Multibiometrics, Unimodal biometrics.
Biometric of technology.ppt
This document discusses biometrics, which uses physiological or behavioral characteristics to identify individuals. It outlines the history of biometrics dating back to fingerprint use in China in the 14th century. Various biometric techniques are described like fingerprints, facial recognition, iris scans, and hand geometry. Biometrics works by recording and comparing these characteristics using biometric devices and databases. Applications of biometrics include access control systems, e-commerce, banking, and crime investigation. While biometrics provides security, issues around privacy, identity risks, and technology limitations require consideration.
(2007) Image Quality and Minutiae Count Comparison for Genuine and Artificial...
(2007) Image Quality and Minutiae Count Comparison for Genuine and Artificial...International Center for Biometric Research
The vulnerabilities of biometric sensors have been
discussed extensively in the literature and popularized in films and
television shows. This research examines the image quality of an
artificial print as compared to a genuine finger, and examines the
characteristics of the two, including minutiae counts and image
quality, as repeated samples are taken.Biometricsppt
This document provides an introduction to biometric authentication. It discusses how biometric authentication uses physical and behavioral characteristics to identify individuals. Some benefits of biometric authentication over traditional methods like passwords are that biometric traits cannot be lost or stolen. The document then describes various biometric modalities (or traits) that can be used, including fingerprints, iris scans, facial recognition, DNA, gait, signatures, voice, and keystrokes. It also discusses how biometric systems work and potential sources of error in biometric identification.
Jss academy of technical education
This document is a report on biometric sensors written by Arhind Kumar Gautam for his Information Technology department. It contains an introduction to biometric sensors, a history of biometrics, definitions of biometric terms, descriptions of different types of biometric sensors including physical (fingerprint, face recognition, retina scan) and behavioral (voice recognition, signature) biometrics. It also discusses future applications of biometrics and provides a conclusion on biometric sensors.
Role of fuzzy in multimodal biometrics system
This document summarizes a research paper on using fuzzy logic in a multimodal biometrics system combining face, ear, and foot recognition. It discusses how unimodal biometric systems have limitations that multimodal systems aim to overcome through data fusion. The methodology uses eigenfaces for face recognition, eigenimages for ear recognition, and sequential modified Haar transform for foot recognition. Scores are normalized and fused using fuzzy logic rules. Highest matching was found when fusing face and ear, lowest when fusing ear and foot. The fuzzy multimodal system enhanced identification accuracy over unimodal systems.
Biometrics - Chapter 1 Introduction.pptx
The document discusses biometric security and authentication techniques. It defines biometrics as automated methods of identifying individuals based on physiological or behavioral characteristics. Some examples provided include fingerprints, voice, iris, retina, hand geometry, and others. Biometric systems can be used for verification, where they confirm an identity claim, or identification, where they determine an unknown individual's identity from a database. Key factors in biometric systems include false acceptance and false rejection rates, throughput, and total cost. The document also discusses different types of biometric techniques and their appropriate uses.
(2009) Human-Biometric Sensor Interaction: Impact of Training on Biometric Sy...
(2009) Human-Biometric Sensor Interaction: Impact of Training on Biometric Sy...International Center for Biometric Research
Increasingly sophisticated biometric methods are being used for a
variety of applications in which accurate authentication of people is necessary.
Because all biometric methods require humans to interact with a device of some
type, effective implementation requires consideration of human factors issues.
One such issue is the training needed to use a particular device appropriately.
In this paper, we review human factors issues in general that are associated with
biometric devices and focus more specifically on the role of training.Behavioral biometrics (1)
Behavioral biometrics is the field of study connected with the proportion of extraordinarily recognizing and quantifiable examples in human exercises. The term stands out from actual biometrics, which includes inborn human attributes, for example, fingerprints or iris designs.
1Ethical Biometric Use23 Feb 2020Table of Cont.docx
1
Ethical Biometric Use
23 Feb 2020
Table of Contents
Introduction
Public Safety Agencies Using Biometrics and the Types Used
Techniques and Capabilities for Gathering Biometric Data
Ethical and Unethical Application of Biometric Data
Rules Affecting the Gathering and Use of Biometric Data
Conclusion
References
2
Introduction
The use of biometrics by public safety agencies in the United States provides both benefits and cause of ethical concerns. As public safety administrators integrate biometrics into their practices, care should be taken to understand the capabilities of technologies as well as their ethical use.
3
Public Safety Agencies Using Biometrics and the Types Used
Agencies
Law enforcement agencies
Rescue services
Criminal investigation agencies
Firefighting agencies
Transportation Security Administration (TSA)
4
Public Safety Agencies Using Biometrics and the Types Used
Uses
Police use facial recognition, iris recognition and Automated Fingerprint Identification System (AFIS) among other biometric technologies to identify suspects accurately and quickly from millions of records (Purshouse & Campbell, 2019).
The biometric technology adopted in such public safety agencies is the use of DNA testing.
Criminal investigators use fingerprint matching processes to identify the fingerprint patterns of criminal.
Some of the biometric technologies used is AFIS and facial recognition for commanders to prove that the firefighter was actually present, should anything happen.
The TSA implemented detection technology to single out dangerous materials that passengers may be carrying in order to use them later to harm the public (Zhang, 2019). A biometric identification mechanisms was implemented to verify the passengers travelling to, from and within the country. Such technologies include iris scans, fingerprint scanning or a combination of both.
5
Techniques and Capabilities for Gathering Biometric Data
DNA Matching
Analysis of segments of DNA
Ear Geography
Shape of the ear
Eye Recognition
Iris – Features found around the iris
Retina – Patterns of veins in the back of the eye
Face Thermography
Facial features or patterns
Finger Recognition
Fingerprint – Ridges and valleys (Minutiae) on tips of fingers
Finger Geometry – 3D geometry of finger
Hand Geometry Recognition
Length of fingers
Width of hand
Vein Recognition
Vein patterns in finger or palm
6
Techniques and Capabilities for Gathering Biometric Data
Odor Recognition
Analysis of individuals odor
Typing and Mouse Recognition
Typing features – inter-stroke latency, time durations between keystrokes, dwell times
Mouse features – movement, drag and drop, stillness, point and click
Voice-Speaker Identification
Analysis of voice – pronunciation, pitch, tone, cadence
Gait
Individuals walking style
Signature Recognition
Analysis of handwriting style
Static
Visual Comparison between scanned signatures
Dynamic
Anatomic and behavioral characteristics when sign ...
1Ethical Biometric Use23 Feb 2020Table of Cont.docx
1
Ethical Biometric Use
23 Feb 2020
Table of Contents
Introduction
Public Safety Agencies Using Biometrics and the Types Used
Techniques and Capabilities for Gathering Biometric Data
Ethical and Unethical Application of Biometric Data
Rules Affecting the Gathering and Use of Biometric Data
Conclusion
References
2
Introduction
The use of biometrics by public safety agencies in the United States provides both benefits and cause of ethical concerns. As public safety administrators integrate biometrics into their practices, care should be taken to understand the capabilities of technologies as well as their ethical use.
3
Public Safety Agencies Using Biometrics and the Types Used
Agencies
Law enforcement agencies
Rescue services
Criminal investigation agencies
Firefighting agencies
Transportation Security Administration (TSA)
4
Public Safety Agencies Using Biometrics and the Types Used
Uses
Police use facial recognition, iris recognition and Automated Fingerprint Identification System (AFIS) among other biometric technologies to identify suspects accurately and quickly from millions of records (Purshouse & Campbell, 2019).
The biometric technology adopted in such public safety agencies is the use of DNA testing.
Criminal investigators use fingerprint matching processes to identify the fingerprint patterns of criminal.
Some of the biometric technologies used is AFIS and facial recognition for commanders to prove that the firefighter was actually present, should anything happen.
The TSA implemented detection technology to single out dangerous materials that passengers may be carrying in order to use them later to harm the public (Zhang, 2019). A biometric identification mechanisms was implemented to verify the passengers travelling to, from and within the country. Such technologies include iris scans, fingerprint scanning or a combination of both.
5
Techniques and Capabilities for Gathering Biometric Data
DNA Matching
Analysis of segments of DNA
Ear Geography
Shape of the ear
Eye Recognition
Iris – Features found around the iris
Retina – Patterns of veins in the back of the eye
Face Thermography
Facial features or patterns
Finger Recognition
Fingerprint – Ridges and valleys (Minutiae) on tips of fingers
Finger Geometry – 3D geometry of finger
Hand Geometry Recognition
Length of fingers
Width of hand
Vein Recognition
Vein patterns in finger or palm
6
Techniques and Capabilities for Gathering Biometric Data
Odor Recognition
Analysis of individuals odor
Typing and Mouse Recognition
Typing features – inter-stroke latency, time durations between keystrokes, dwell times
Mouse features – movement, drag and drop, stillness, point and click
Voice-Speaker Identification
Analysis of voice – pronunciation, pitch, tone, cadence
Gait
Individuals walking style
Signature Recognition
Analysis of handwriting style
Static
Visual Comparison between scanned signatures
Dynamic
Anatomic and behavioral characteristics when sign.
Biometric Security Poses Huge Privacy Risks in Kenya
1. This paper investigates the personal and informational privacy concerns regarding biometric technology in Kenya. It examines legal reviews and identifies potential risks with biometric data storage and use.
2. Biometrics are increasingly used for authentication in Kenya without fully considering privacy risks. Key risks include spoofing biometric data, intercepting biometric data transmitted over networks, system errors from power outages, and residual biometric traces allowing unauthorized access.
3. The paper analyzes Kenya's legal framework for privacy and guidelines for implementing biometric systems. While biometric technology promises better security and convenience, its widespread use also risks privacy violations that must be mitigated through legal reforms and technical controls.
Biometric technologies and applications
The document discusses biometric technologies and applications. Biometrics refers to technologies that measure physiological or behavioral characteristics to identify or verify individuals. These characteristics include fingerprints, iris scans, facial recognition, gait, and signatures. Contemporary systems use multiple biometrics to increase reliability. Synthetic biometrics can also be generated to improve existing identification systems or for training. However, synthetic biometrics raise ethical issues around forgery and privacy.
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.
Biometric System Concepts and Attacks
Biometric System Concepts and Attacks
Prepared By:
Saif Salah & Rafah Amer Jaafar
Supervisor
Dr. Bashar M. Nema
What Is Biometric Authentication? A Complete Overview | Enterprise Wired
This article explores the intricacies of biometric authentication, its diverse applications, the underlying technologies, and the potential it holds in revolutionizing the landscape of digital security.
Biometric Systems
This document summarizes a presentation on biometric systems. It begins by defining biometric systems as automated methods of identifying individuals based on physiological or behavioral characteristics. It then outlines the objectives of exploring biometric applications in management. It discusses types of biometrics like fingerprints and facial recognition. It explains how biometric systems work by enrolling reference templates and comparing them to new samples. It also covers benefits of biometric systems like security, convenience and accountability. Risks are discussed along with recommendations to ensure security of biometric data. The document concludes by noting biometric systems require careful risk analysis and implementation based on the environment.
A Comparison Based Study on Biometrics for Human Recognition
Abstract: A biometric system provides automatic recognition of an individual based on a unique feature or
characteristic possessed by the individual. These biometric characteristic may physiological or behavioral.
Unlike other identification methods such as id proof, tokens and password, the distinct aspect of biometric
recognition comes into light from randomly distributed features in human being. In this paper, I describe the
novel comparison based upon various aspects to make easy selection for biometric device deployment in specific
environment. This paper proposes a comparison among all kind of biometric system available in the society.
The existing computer security systems used at various places like banking, passport, credit cards, smart cards,
PIN , access control and network security are using username and passwords for person identification.
Biometric systems also introduce an aspect of user convenience; it means one can be authorized by representing
himself or herself. In this paper, the main focus is on working principal of biometric technique, the various
biometrics systems and their comparisons.
Keywords: Biometrics, authentication, identification, recognition
Antispoofing in face biometrics: A comprehensive study on software-based tech...
The vulnerability of the face recognition system to spoofing attacks has piqued the biometric community's interest, motivating them to develop anti-spoofing techniques to secure it. Photo, video, or mask attacks can compromise face biometric systems (types of presentation attacks). Spoofing attacks are detected using liveness detection techniques, which determine whether the facial image presented at a biometric system is a live face or a fake version of it. We discuss the classification of face anti-spoofing techniques in this paper. Anti-spoofing techniques are divided into two categories: hardware and software methods. Hardware-based techniques are summarized briefly. A comprehensive study on software-based countermeasures for presentation attacks is discussed, which are further divided into static and dynamic methods. We cited a few publicly available presentation attack datasets and calculated a few metrics to demonstrate the value of anti-spoofing techniques.
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1Ethical Biometric Use23 Feb 2020Table of Cont.docx
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Biometric technologies
- 2. Overview Biometric technologies try to generate computer models of human physical and behavioural characteristics in order to reliably identify people. Biometric technologies are generally considered to be the implementation of pattern recognition algorithms because they are intended to identify people. The ability to improve the reliability and accuracy of the various types of biometrics systems while testing their vulnerabilities under different environmental conditions is critical, since biometrics is an essential part of law enforcement and security communities.
- 3. Key Points 1. Biometrics technologies try to generate computer models of human physical and behavioural characteristics in order to reliably identify people. 2. The word “biometrics” comes from the Greek words “bios” and “metric” meaning life and measurement. This translates directly into “life measurement”. 3. Ethical issues of synthetic Biometrics · Prevention of undesirable side effects, · Targeting areas of social concern in biometrics, · Generating several copies of original information, · Threats of forgery etc.
- 4. Key Points 4. A biometric identification device can measure- · Individual biometric information · Compare the measurement with one or more stored biometric reference templates, · Decide whether they match sufficiently to indicate that they represent the same person · Whether or not identification has been recognized or verified.
- 5. Key Points 5. Examples of different biometrics- • Face • Fingerprint • Voice • Palmprint • Hand Geometry • Iris • Retina Scan • Voice • DNA • Signatures • Gait • Keystroke