Bis iris scanning
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Iris scanning uses the unique patterns in a person's iris, which are determined before birth and remain stable throughout life, allowing for highly accurate biometric identification. An iris code using a mathematical algorithm represents each iris pattern, and no two codes are the same. Current uses of iris scanning include smartphones, airports, and government and military applications due to its accuracy and speed compared to fingerprint scanning. Future uses may expand to ATMs, healthcare, transportation, and other areas requiring security and user identification.
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Biometrics Iris Scanning: A Literature Review
The interest in Biometrics from both governments and industry has lead to the emergence of multiple Biometric technologies all with their own strengths and flaws. One currently at the forefront of Biometrics is iris scanning.
The process involved in the identification and verification of people using iris scanning is examined in this paper. The advantages and disadvantages associated with the utilisation of such a technology are also explored. A number of legal and ethical issues are highlighted. Iris scanning is looked at in comparison to other forms of Biometric technologies. Future work in the area of Biometrics is also considered in light of current developments.
Iris scanning
This document discusses iris recognition as a biometric method for human identification. It begins by defining biometrics and outlining the development of iris recognition from the 1980s to modern applications. The iris is described as a protected internal organ of the eye that is visible from a distance and contains unique patterns. Key points are that iris patterns are stable over a person's lifetime and have a very low probability of matching between two different people. The document then covers the major parts of an iris recognition system and both technical challenges and applications.
Iris scanning
This document summarizes the history and technology of iris recognition biometrics. It discusses how the iris was first proposed as a biometric in the 1930s, was featured in Bond films in the 1980s, and was patented and implemented in ATMs in the late 1980s. The iris is described as a protected internal organ that has many unique identifying features, making it very difficult to artificially duplicate. The document outlines the major parts of an iris recognition system and discusses many applications of the technology such as computer login, border control, and forensics. It concludes that iris recognition is extremely accurate and could be used for large-scale identification.
Iris Scan
This document summarizes iris scan technology. It discusses how iris recognition works by leveraging the unique patterns in the iris to provide accurate identification. The iris has over 400 identifying features and remains stable over time, making it a powerful biometric identifier. Iris scanning has applications in computer and device security, border control, and other areas requiring secure identification. While generally accurate, iris scanning does face some challenges related to acquisition of the iris image and potential non-cooperation of subjects.
iris recognition system as means of unique identification
Project Done and submitted by Students Of final year CBP Government Engineering College
student name : vipin kumar khutail , Krishnanad Mishra , Jaswant kumar, Rahul Vashisht
Project Description :
Iris recognition is an automated method of bio-metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex random patterns are unique, stable, and can be seen from some distance
IRIS Scaner
Mantra Softech is an Indian company that develops biometric security solutions including iris scanners. The presentation discusses the company profile, how iris scanners work, their advantages, applications, and software requirements. It explains that iris scanners capture images of the iris, analyze patterns in the iris, and encode the patterns in an iris code for identification purposes.
Iris scanner technology
This document presents information on iris scanner technology from a presentation by Shams. It discusses what the iris is, why iris recognition is used, the history and development of iris recognition, how iris recognition systems work, advantages like the iris being unique and stable over time, and disadvantages like the small target size and it being obscured. The conclusion is that iris scanning is highly accurate and fast but still needs some development to become more widely used technology.
Iris Recognition Technology
A study of Iris Recognition technology over the in use biometric technologies these days. These Study shows how beneficial the iris technology can be to the Human in future.
I have put all my efforts in this study and have made an simple easy to understand ppt.
Recommended
Biometrics Iris Scanning: A Literature Review
The interest in Biometrics from both governments and industry has lead to the emergence of multiple Biometric technologies all with their own strengths and flaws. One currently at the forefront of Biometrics is iris scanning.
The process involved in the identification and verification of people using iris scanning is examined in this paper. The advantages and disadvantages associated with the utilisation of such a technology are also explored. A number of legal and ethical issues are highlighted. Iris scanning is looked at in comparison to other forms of Biometric technologies. Future work in the area of Biometrics is also considered in light of current developments.
Iris scanning
This document discusses iris recognition as a biometric method for human identification. It begins by defining biometrics and outlining the development of iris recognition from the 1980s to modern applications. The iris is described as a protected internal organ of the eye that is visible from a distance and contains unique patterns. Key points are that iris patterns are stable over a person's lifetime and have a very low probability of matching between two different people. The document then covers the major parts of an iris recognition system and both technical challenges and applications.
Iris scanning
This document summarizes the history and technology of iris recognition biometrics. It discusses how the iris was first proposed as a biometric in the 1930s, was featured in Bond films in the 1980s, and was patented and implemented in ATMs in the late 1980s. The iris is described as a protected internal organ that has many unique identifying features, making it very difficult to artificially duplicate. The document outlines the major parts of an iris recognition system and discusses many applications of the technology such as computer login, border control, and forensics. It concludes that iris recognition is extremely accurate and could be used for large-scale identification.
Iris Scan
This document summarizes iris scan technology. It discusses how iris recognition works by leveraging the unique patterns in the iris to provide accurate identification. The iris has over 400 identifying features and remains stable over time, making it a powerful biometric identifier. Iris scanning has applications in computer and device security, border control, and other areas requiring secure identification. While generally accurate, iris scanning does face some challenges related to acquisition of the iris image and potential non-cooperation of subjects.
iris recognition system as means of unique identification
Project Done and submitted by Students Of final year CBP Government Engineering College
student name : vipin kumar khutail , Krishnanad Mishra , Jaswant kumar, Rahul Vashisht
Project Description :
Iris recognition is an automated method of bio-metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex random patterns are unique, stable, and can be seen from some distance
IRIS Scaner
Mantra Softech is an Indian company that develops biometric security solutions including iris scanners. The presentation discusses the company profile, how iris scanners work, their advantages, applications, and software requirements. It explains that iris scanners capture images of the iris, analyze patterns in the iris, and encode the patterns in an iris code for identification purposes.
Iris scanner technology
This document presents information on iris scanner technology from a presentation by Shams. It discusses what the iris is, why iris recognition is used, the history and development of iris recognition, how iris recognition systems work, advantages like the iris being unique and stable over time, and disadvantages like the small target size and it being obscured. The conclusion is that iris scanning is highly accurate and fast but still needs some development to become more widely used technology.
Iris Recognition Technology
A study of Iris Recognition technology over the in use biometric technologies these days. These Study shows how beneficial the iris technology can be to the Human in future.
I have put all my efforts in this study and have made an simple easy to understand ppt.
Iris by @run@$uj! final
This document provides an overview of iris recognition as a biometric authentication method. It discusses how iris recognition works, including iris scanning, iris code generation, and verification. It then describes how iris recognition could be used for the voting process, including a block diagram and flowchart of the process. The document notes advantages of iris recognition such as accuracy and difficulty to imitate, and disadvantages such as need for specialized equipment and inability to retrieve iris from crime scenes like fingerprints. It provides examples of iris recognition applications and concludes by discussing its advantages over fingerprint scanning for identifying refugees.
Iris recognition
in terms of Forensic Science, how iris recognition is done and what are the key factors that should be kept in mind. It can be its Advantages, Disadvantages, Approaches and very importantly the working process.
Pattern recognition IRIS recognition
The document discusses iris recognition as a biometric identification method that uses pattern recognition techniques to identify individuals based on the unique patterns in their irises. It provides an overview of the history and development of iris recognition, describes the components of an iris recognition system including image acquisition, segmentation, normalization, and feature encoding, and discusses applications of iris recognition including uses for border control, computer login authentication, and other security purposes.
IRIS RECOGNITION
The document summarizes iris recognition as a biometric identification method. It describes the anatomy of the human eye and details how the iris has unique patterns that can be used to identify individuals. The summary explains that iris recognition works by imaging the iris, locating its boundaries, normalizing variations, and matching its texture patterns to encoded templates in a database. With over 200 identifying features, the iris provides very high accuracy for identification applications such as border control, ATMs, and computer login authentication.
Final iris recognition
This document discusses iris recognition as a biometric security method. It provides an overview of how iris recognition works, including segmentation of the iris region, normalization, and feature extraction and matching. The accuracy of iris recognition is close to 82%, with an equal error rate of 18.3%. While iris recognition has advantages like the uniqueness and stability of iris patterns, concerns include the high cost of implementation and challenges with non-ideal iris images under different lighting conditions.
Iris recognition system
The document discusses iris recognition as a biometric identification method. It provides a brief history of iris recognition from its proposal in 1939 to its implementation in 1990 by Dr. John Daugman who created algorithms for it. The document outlines the iris recognition process including iris localization, normalization, feature extraction using Gabor filters, and matching using techniques like Euclidean distance. It discusses advantages like accuracy and stability of iris patterns, and disadvantages such as cost and inability to capture images from certain positions.
Iris recognition seminar
This document discusses iris recognition as a biometric method for uniquely identifying individuals. It begins by explaining biometrics and the need for identification methods due to advances in technology and globalization. It then describes the anatomy of the human eye and details how the iris is unique among individuals and stable over one's lifetime, making it suitable for recognition. The document explains John Daugman's algorithms for iris encoding and matching iris codes to identify individuals. It discusses applications of iris recognition including border control, ATM access, and forensic identification. The document concludes that iris recognition is a highly accurate and secure biometric method due to the statistical rarity of matching irises between individuals.
IRIS &RETINAL SCANNING PPT
This document discusses iris and retinal scanning as biometric identification technologies. Retinal scanning analyzes the blood vessels at the back of the eye, while iris scanning reads patterns in the iris. Both are highly accurate, with almost zero false positive rates. However, retinal scanning requires more user skill and can be affected by eye conditions. Now widely used, iris scanning was developed in 1994 and has advantages over fingerprints in identifying individuals.
Iris recognition
Iris recognition is an automated method of bio metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Retinal scanning is a different, ocular-based bio metric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally.
Iris recognition
It is used to easily find the identification of the individual person.
This technique is more secure when compare to the all biometric readers.
Iris print
The document discusses iris recognition technology, which uses cameras to capture high-resolution photos of the iris and specialized software to encode the unique patterns in the iris. A key challenge is live-tissue verification to ensure an actual iris is being imaged rather than a photo or fake iris. Several methods are proposed to address this, such as changing lighting during imaging to verify the pupillary reflex, analyzing spatial frequencies to detect printer patterns, and observing natural eye movements. Iris recognition has been deployed in immigration systems in countries like the UAE and Canada.
Iris biometrics
The document discusses iris biometrics for identification. It describes the retina and iris, noting that the unique patterns of blood vessels and iris are highly distinctive even between identical twins. Iris recognition involves using cameras to capture high-resolution photos of the iris within a few feet. Software then locates the iris boundaries, normalizes it, and encodes the pattern to generate an iris code for identification purposes by comparing to stored templates. The iris remains stable over a lifetime but can be affected by some eye diseases. Compared to other biometrics, iris scanning is accurate, stable, fast, and scalable for identification.
Study and development of Iris Segmentation and Normalization Technique
The document is a thesis presentation on studying and developing iris segmentation and normalization techniques. It contains an introduction to biometrics and iris recognition. The document discusses literature on iris segmentation and normalization methods. It also covers topics like the anatomy and properties of the iris, existing iris recognition systems, and issues regarding biometrics. The goal is to develop an iris recognition system and evaluate its performance.
Iris ppt
Biometrics uses physiological characteristics like fingerprints, iris patterns, and voice to identify individuals. The iris, located around the pupil, regulates the size of the pupil and has complex random patterns that are unique to each person. Iris recognition uses cameras to capture an iris image, overlay a grid to analyze patterns, and compare it to stored templates to identify a person. Iris scanning is highly accurate for identification and authentication purposes across applications like border control, computer login, and financial transactions due to the iris having unique patterns that remain stable throughout life.
Iris recognition
The document discusses iris recognition as the best biometric identification system. It provides an overview of the iris recognition process which involves iris localization, normalization, feature encoding, and matching. Real-world applications of iris recognition include the Aadhaar ID project in India and border security in the UAE. While highly accurate, iris recognition has some disadvantages like accuracy variations depending on imaging conditions and potential for fake iris lenses. Overall, iris recognition is described as a fast and accurate biometric technology that will become more common with further development to address current limitations.
Iris based Human Identification
This report will give idea of key steps in developing an algorithm for \’Iris based Recognition system\’.Experimental observations as well are also shown.
Mobile voting by using biometrics
This document discusses India transitioning to fully electronic voting. It introduces m-voting which allows voting via mobile phones. It describes the iris scanning process where voters' iris patterns are enrolled and then scanned for verification before allowing them to vote. The benefits of this system are that it saves time, prevents election malpractices, and enables secure voting for remote populations like military forces and those in remote areas.
Iris Biometric for Person Identification
This document discusses iris biometrics for person identification. It begins by defining biometrics and explaining why they are used. It then focuses on iris biometrics, describing how the iris is unique, how iris recognition systems work to capture images and extract iris codes for identification, and the techniques involved like localization, normalization and enhancement. It compares iris recognition to other biometrics like fingerprints in terms of accuracy, stability, speed and security. It concludes by discussing current and future uses of iris biometrics with references.
Biometrics iris recognition
This slides will give overall idea about iris recognition system its working its functions of different component,its flow of system and many more
8 g iris-recognition_system
The document discusses iris recognition technology. It begins by introducing iris recognition as a biometric authentication method using pattern recognition on high-resolution eye images. It then provides details on how iris recognition works, including isolating the iris area in an image, encoding the iris patterns into binary templates, and comparing templates to identify or verify individuals. The document also discusses the statistical properties of iris patterns that make iris recognition highly accurate and reliable compared to other biometric methods. It concludes by mentioning some commercial applications of iris recognition technology.
EMERGING BIOMETRIC AUTHENTICATION TECHNIQUES FOR CARS
- Biometric authentication techniques like fingerprints, iris scans, voice recognition, and facial recognition can be used for car security systems to authenticate the identity of the driver. These techniques are more secure than traditional passwords and keys that can be stolen.
- Fingerprints, iris scans, voice patterns, and facial features are unique to each individual and can be used to quickly and accurately verify a person's identity. Biometric sensors installed in vehicles could automatically unlock doors when a match is found.
- As biometric technologies continue to advance through improvements in sensors and algorithms, their use in vehicles is growing to provide enhanced security, personalized settings, and potential integration with smart vehicle features and external services. Biometric authentication plays a key role in
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The document proposes a fingerprint recognition system to ignite motorcycles for enhanced security. It discusses existing works that use biometrics like fingerprint scanning to replace conventional keys. The proposed system stores fingerprints of authorized users in a fingerprint module. When a person scans their fingerprint, the system matches it to the stored fingerprints to either ignite the motorcycle or trigger an alarm. If a match is found, the microcontroller will ignite the bike via the ignition system. Otherwise, the alarm will turn on. The system aims to only allow registered users to start the motorcycle, providing better security than traditional locks.
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Iris by @run@$uj! final
This document provides an overview of iris recognition as a biometric authentication method. It discusses how iris recognition works, including iris scanning, iris code generation, and verification. It then describes how iris recognition could be used for the voting process, including a block diagram and flowchart of the process. The document notes advantages of iris recognition such as accuracy and difficulty to imitate, and disadvantages such as need for specialized equipment and inability to retrieve iris from crime scenes like fingerprints. It provides examples of iris recognition applications and concludes by discussing its advantages over fingerprint scanning for identifying refugees.
Iris recognition
in terms of Forensic Science, how iris recognition is done and what are the key factors that should be kept in mind. It can be its Advantages, Disadvantages, Approaches and very importantly the working process.
Pattern recognition IRIS recognition
The document discusses iris recognition as a biometric identification method that uses pattern recognition techniques to identify individuals based on the unique patterns in their irises. It provides an overview of the history and development of iris recognition, describes the components of an iris recognition system including image acquisition, segmentation, normalization, and feature encoding, and discusses applications of iris recognition including uses for border control, computer login authentication, and other security purposes.
IRIS RECOGNITION
The document summarizes iris recognition as a biometric identification method. It describes the anatomy of the human eye and details how the iris has unique patterns that can be used to identify individuals. The summary explains that iris recognition works by imaging the iris, locating its boundaries, normalizing variations, and matching its texture patterns to encoded templates in a database. With over 200 identifying features, the iris provides very high accuracy for identification applications such as border control, ATMs, and computer login authentication.
Final iris recognition
This document discusses iris recognition as a biometric security method. It provides an overview of how iris recognition works, including segmentation of the iris region, normalization, and feature extraction and matching. The accuracy of iris recognition is close to 82%, with an equal error rate of 18.3%. While iris recognition has advantages like the uniqueness and stability of iris patterns, concerns include the high cost of implementation and challenges with non-ideal iris images under different lighting conditions.
Iris recognition system
The document discusses iris recognition as a biometric identification method. It provides a brief history of iris recognition from its proposal in 1939 to its implementation in 1990 by Dr. John Daugman who created algorithms for it. The document outlines the iris recognition process including iris localization, normalization, feature extraction using Gabor filters, and matching using techniques like Euclidean distance. It discusses advantages like accuracy and stability of iris patterns, and disadvantages such as cost and inability to capture images from certain positions.
Iris recognition seminar
This document discusses iris recognition as a biometric method for uniquely identifying individuals. It begins by explaining biometrics and the need for identification methods due to advances in technology and globalization. It then describes the anatomy of the human eye and details how the iris is unique among individuals and stable over one's lifetime, making it suitable for recognition. The document explains John Daugman's algorithms for iris encoding and matching iris codes to identify individuals. It discusses applications of iris recognition including border control, ATM access, and forensic identification. The document concludes that iris recognition is a highly accurate and secure biometric method due to the statistical rarity of matching irises between individuals.
IRIS &RETINAL SCANNING PPT
This document discusses iris and retinal scanning as biometric identification technologies. Retinal scanning analyzes the blood vessels at the back of the eye, while iris scanning reads patterns in the iris. Both are highly accurate, with almost zero false positive rates. However, retinal scanning requires more user skill and can be affected by eye conditions. Now widely used, iris scanning was developed in 1994 and has advantages over fingerprints in identifying individuals.
Iris recognition
Iris recognition is an automated method of bio metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Retinal scanning is a different, ocular-based bio metric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally.
Iris recognition
It is used to easily find the identification of the individual person.
This technique is more secure when compare to the all biometric readers.
Iris print
The document discusses iris recognition technology, which uses cameras to capture high-resolution photos of the iris and specialized software to encode the unique patterns in the iris. A key challenge is live-tissue verification to ensure an actual iris is being imaged rather than a photo or fake iris. Several methods are proposed to address this, such as changing lighting during imaging to verify the pupillary reflex, analyzing spatial frequencies to detect printer patterns, and observing natural eye movements. Iris recognition has been deployed in immigration systems in countries like the UAE and Canada.
Iris biometrics
The document discusses iris biometrics for identification. It describes the retina and iris, noting that the unique patterns of blood vessels and iris are highly distinctive even between identical twins. Iris recognition involves using cameras to capture high-resolution photos of the iris within a few feet. Software then locates the iris boundaries, normalizes it, and encodes the pattern to generate an iris code for identification purposes by comparing to stored templates. The iris remains stable over a lifetime but can be affected by some eye diseases. Compared to other biometrics, iris scanning is accurate, stable, fast, and scalable for identification.
Study and development of Iris Segmentation and Normalization Technique
The document is a thesis presentation on studying and developing iris segmentation and normalization techniques. It contains an introduction to biometrics and iris recognition. The document discusses literature on iris segmentation and normalization methods. It also covers topics like the anatomy and properties of the iris, existing iris recognition systems, and issues regarding biometrics. The goal is to develop an iris recognition system and evaluate its performance.
Iris ppt
Biometrics uses physiological characteristics like fingerprints, iris patterns, and voice to identify individuals. The iris, located around the pupil, regulates the size of the pupil and has complex random patterns that are unique to each person. Iris recognition uses cameras to capture an iris image, overlay a grid to analyze patterns, and compare it to stored templates to identify a person. Iris scanning is highly accurate for identification and authentication purposes across applications like border control, computer login, and financial transactions due to the iris having unique patterns that remain stable throughout life.
Iris recognition
The document discusses iris recognition as the best biometric identification system. It provides an overview of the iris recognition process which involves iris localization, normalization, feature encoding, and matching. Real-world applications of iris recognition include the Aadhaar ID project in India and border security in the UAE. While highly accurate, iris recognition has some disadvantages like accuracy variations depending on imaging conditions and potential for fake iris lenses. Overall, iris recognition is described as a fast and accurate biometric technology that will become more common with further development to address current limitations.
Iris based Human Identification
This report will give idea of key steps in developing an algorithm for \’Iris based Recognition system\’.Experimental observations as well are also shown.
Mobile voting by using biometrics
This document discusses India transitioning to fully electronic voting. It introduces m-voting which allows voting via mobile phones. It describes the iris scanning process where voters' iris patterns are enrolled and then scanned for verification before allowing them to vote. The benefits of this system are that it saves time, prevents election malpractices, and enables secure voting for remote populations like military forces and those in remote areas.
Iris Biometric for Person Identification
This document discusses iris biometrics for person identification. It begins by defining biometrics and explaining why they are used. It then focuses on iris biometrics, describing how the iris is unique, how iris recognition systems work to capture images and extract iris codes for identification, and the techniques involved like localization, normalization and enhancement. It compares iris recognition to other biometrics like fingerprints in terms of accuracy, stability, speed and security. It concludes by discussing current and future uses of iris biometrics with references.
Biometrics iris recognition
This slides will give overall idea about iris recognition system its working its functions of different component,its flow of system and many more
8 g iris-recognition_system
The document discusses iris recognition technology. It begins by introducing iris recognition as a biometric authentication method using pattern recognition on high-resolution eye images. It then provides details on how iris recognition works, including isolating the iris area in an image, encoding the iris patterns into binary templates, and comparing templates to identify or verify individuals. The document also discusses the statistical properties of iris patterns that make iris recognition highly accurate and reliable compared to other biometric methods. It concludes by mentioning some commercial applications of iris recognition technology.
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Study and development of Iris Segmentation and Normalization Technique
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- Fingerprints, iris scans, voice patterns, and facial features are unique to each individual and can be used to quickly and accurately verify a person's identity. Biometric sensors installed in vehicles could automatically unlock doors when a match is found.
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Base paper
This document proposes a new wireless multifunctional smart robot system for border security surveillance with real-time object recognition. The robot uses multiple sensors including PIR, ultrasonic, flame, temperature, gas sensors and a camera for surveillance at borders. It can detect intrusions, obstacles, fires, toxic gases and track its location using GPS. When any dangerous situations are sensed, it sends alerts to authorities. This automated system can continuously monitor large border areas and save human lives compared to human surveillance. The proposed smart robot is intended to improve security at borders by remotely detecting threats in real-time.
Smart surveillance
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Smart vehicle management by using sensors and an IoT based black box
Smart vehicle management by using sensors and an IoT based black boxInternational Journal of Reconfigurable and Embedded Systems
This document summarizes a research paper that proposes a smart vehicle management system using sensors and an IoT-based black box. The system aims to reduce traffic accidents by continuously monitoring the driver and vehicle for unsafe conditions like drowsiness, alcohol consumption, speeding, etc. and alerting authorities if needed. It uses sensors like LiDAR, alcohol sensors, cameras and more to detect surrounding objects, the driver's state, and send real-time data to an IoT server. If an emergency occurs, the system can send a rescue signal to nearby police including the vehicle's location using GPS. The system aims to automatically collect evidence and alert authorities to unsafe driving to help reduce accidents and make roads safer.ANDROID & FIREBASE BASED ANTI THEFT MOBILE APPLICATION
This document summarizes an Android & Firebase based anti-theft mobile application. The application secretly runs in the background after installation. If the phone is lost or stolen, it sends the thief's location, photos taken by the front camera, and other identifying information to registered contacts. This is done without the thief's knowledge through features like fake shutdown and fake airplane mode. The application aims to facilitate easy retrieval of stolen phones and protect private data. It was created using Java technology and Firebase for backend connectivity and alert systems. The proposed system provides an effective solution for mobile security and theft prevention.
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Bis iris scanning
- 2. Why the Iris? Color is determined by genetics Patterns in the ligaments are formed by random tissue folding during gestation Patterns remain stable throughout life 225 different points of comparison
- 3. How it Works Iris Codes John Daugman A mathematical equation that represents the pattern in a person’s iris No two codes are the same 1. Enrollment 2. Recognition
- 4. Current Uses Most common use in private enterprise, military, and government Samsung Galaxy Note 7 Fujitsu NX F-04G Infrared LED and infrared camera Reviews: faster and more accurate than finger scan Airport security
- 5. Future Use ATMs Healthcare, financial, and transportation Prisons Faster way to log Security Traffic cameras
- 6. References http://www.computerworld.com/article/3113028/mobile-security/how-it-works-iris- scanning-improves-smartphone-security.html http://www.hendonpub.com/law_and_order/articles/2013/10/biometrics_mobile_iris _recognition http://www.cl.cam.ac.uk/~jgd1000/Iris_Recognition_at_Airports_and_Border- Crossings.pdf