Science Current Events | Science News | Brightsurf.com
 

New Notre Dame research raises questions about iris recognition systems

July 13, 2012

Since the early days of iris recognition technologies, it has been assumed that the iris was a "stable" biometric over a person's lifetime - "one enrollment for life." However, new research from University of Notre Dame researchers has found that iris biometric enrollment is susceptible to an aging process that causes recognition performance to degrade slowly over time.

"The biometric community has long accepted that there is no 'template aging effect' for iris recognition, meaning that once you are enrolled in an iris recognition system, your chances of experiencing a false non-match error remain constant over time," Kevin Bowyer, Notre Dame's Schubmel-Prein Family Chair in Computer Science and Engineering, said. "This was sometimes expressed as 'a single enrollment for life.' Our experimental results show that, in fact, the false non-match rate increases over time, which means that the single enrollment for life idea is wrong.

"The false match rate is how often the system says that two images are a match when in truth they are from different persons. The false non-match rate is how often the system says that two images are not a match when in truth they are from the same person."

Bowyer noted that there are several reasons the misconceptions about iris biometric stability has persisted.

"One reason is that because it was believed from the early days of iris recognition that there was no template aging effect, nobody bothered to look for the effect," he said. "Also, only recently have research groups had access to image datasets acquired for the same people over a period of several years. Recently, another biometric research group (from Clarkson University and West Virginia University) has also published a study that finds an iris template aging effect."

In their study, Bowyer and Notre Dame undergraduate Sam Fenker analyzed a large dataset with more images acquired over a longer period of time. For one group of people in their dataset, they were able to analyze a year-to-year change over three successive years.

Bowyer points out that iris recognition is already used in various airports and border crossings, including London airports, Schiphol 9Amsterdam) airport, and border entry in the United Arab Emirates. And probably the highest profile and largest application of iris biometrics currently underway is the Unique ID program in India, which has enrolled more people that live in the United Kingdom.

Despite the results of the study, Bowyer does not see them as a "negative" for iris recognition technologies.

"I do not see this as a major problem for security systems going forward," he said. "Once you have admitted that there is a template effect and have set up your system to handle it appropriately in some way, it is no longer a big deal. One possibility is setting up a reenrollment interval. Another possibility is some type of 'rolling re-enrollment,' in which a person is automatically re-enrolled each time they are recognized. And, in the long run, researchers may develop new approaches that are 'aging-resistant.' The iris template aging effect will only be a problem for those who for some reason refuse to believe that it exists."

Bowyer and Fenker recently presented their research paper at the IEEE Computer Society Biometrics Workshop.

University of Notre Dame


Related Iris Recognition Current Events and Iris Recognition News Articles


New NIST biometric data standard adds DNA, footmarks and enhanced fingerprint descriptions
The National Institute of Standards and Technology (NIST) published a revised biometric standard in November, 2011, that vastly expands the type and amount of information that forensic scientists can share across their international networks to identify victims or solve crimes.

Twins are intriguing research subjects for Notre Dame biometircs researchers
Each year in August, the aptly named town of Twinsburg, Ohio, is the site of the largest official gathering of twins in the world. Open to all multiples - identical and fraternal twins, triplets and quads from newborns to octogenarians - the weekend's events include food, live entertainment, a golf tournament, and a twins' parade.

Light at the speed of a bicycle and much more
The speed of light, 300 million metres per second, was long thought an immutable constant and has defined our understanding of matter and energy but recent research in the area of optics and photonics is proving that we can manipulate light to some ingenious and hugely lucrative ends.

Knobbly kneed ID
Forget LED thumb-pad identification devices, complex retinal laser scanning, or even computerized iris recognition, the way forward for biometric validation is a quick X-ray snapshot of a person's knees, according to a report published in the International Journal of Biometrics.

First large-scale evaluation of iris recognition under way
The National Institute of Standards and Technology (NIST) has announced that it is running the Iris Challenge Evaluation (ICE), the first large-scale evaluation of iris recognition.
More Iris Recognition Current Events and Iris Recognition News Articles

Handbook of Iris Recognition (Advances in Computer Vision and Pattern Recognition)

Handbook of Iris Recognition (Advances in Computer Vision and Pattern Recognition)
by Kevin W. Bowyer (Editor), Mark J. Burge (Editor)


The definitive work on iris recognition technology, this comprehensive handbook presents a broad overview of the state of the art in this exciting and rapidly evolving field. Revised and updated from the highly-successful original, this second edition has also been considerably expanded in scope and content, featuring four completely new chapters. Features: provides authoritative insights from an international selection of preeminent researchers from government, industry, and academia; reviews issues covering the full spectrum of the iris recognition process, from acquisition to encoding; presents surveys of topical areas, and discusses the frontiers of iris research, including cross-wavelength matching, iris template aging, and anti-spoofing; describes open source software for the iris...

Iris Analysis for Biometric Recognition Systems (SpringerBriefs in Applied Sciences and Technology)

Iris Analysis for Biometric Recognition Systems (SpringerBriefs in Applied Sciences and Technology)
by Rajesh M. Bodade (Author), Sanjay N. Talbar (Author)


The book presents three most significant areas in Biometrics and Pattern Recognition. A step-by-step approach for design and implementation of Dual Tree Complex Wavelet Transform (DTCWT) plus Rotated Complex Wavelet Filters (RCWF) is discussed in detail. In addition to the above, the book provides detailed analysis of iris images and two methods of iris segmentation. It also discusses simplified study of some subspace-based methods and distance measures for iris recognition backed by empirical studies and statistical success verifications.

The Basics of Iridology: Iris Patterns (The Basics of Iridology 1 - Iris Patterns)

The Basics of Iridology: Iris Patterns (The Basics of Iridology 1 - Iris Patterns)
by Francesco Puerari


Iridology analyzes the colored part of the eyes (iris). It is an alternative medicine technique that can be used as an aid in the current medical practice. This work is focused on Iridology’s fundamental notions: the 13 reference conformations and their relationship with the pupil. This manual, written in an accessible language, isn’t directed only to health operators but also to all the people who love wellbeing and are interested in non-invasive techniques. The work includes numerous illustrations, 25 explicative tables and 142 commented iris images.

Iris Recognition

Iris Recognition
by Zyad Thalji (Author)


The purpose of this Project is to develop Human Identification system that avoids high computational costs, features extraction and curse of dimensionality. The developed system can make a great impact in law enforcement, surveillance, and commercial application such as ATM card verification. This project provides a new methods for Iris recognition with color image; first method separated color image in three gray scale images red value ,green value, and blue value, Second method determined the center pupil and outer circle, the third method is the new algorithm avoid eyelashes and eyelid by taking a sub Iris image, fourth method merge the three sub image in one array, finally use Fourier Fast Transfer (FFT) with markov model to detected Iris print.

Iris Recognition: J.Daugman’s Principle

Iris Recognition: J.Daugman’s Principle
by Vijay Dhir (Author), Maitreyee Dutta (Author), Gagandeep Kaur (Author)


An efficient IRIS Recognition Algorithm was developed based on J.Daugman’s principle. The J.Daugman’s algorithm first locates the pupillary and limbic boundaries of the iris using an integrodifferential operator that finds the circle in the image where an intensity is changing most rapidly with respect to changes in the radius. The key parameters include:- *most effective and accurate Daugman’s algorithm *Preprocessing technique *Implementation highlights of J. Daugman based algorithm on Iris images *Simulation Results display the output of the various simulations that are carried out on Iris Images *Conclusions and Future Scope highlights the outcome of the research work.

The 2018-2023 World Outlook for Iris Recognition

The 2018-2023 World Outlook for Iris Recognition
by Icon Group International (Author)


This study covers the world outlook for iris recognition across more than 190 countries. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region, and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis-à-vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The...

Iris Recognition System: Implementation of iris recognition system with different circle algorithm in iris boundary localization.

Iris Recognition System: Implementation of iris recognition system with different circle algorithm in iris boundary localization.
by Md. Hedayetul Islam Shovon (Author), Mohammad Munzurul Islam (Author)


In biometrics, one of the most important type of physical identification that is based on the personal and unique characteristics of the iris - the colored ring around the pupil of an eye.The whole iris recognition system using Dougman’s method is implemented here with the extended implementation of the system with four circle algorithm in iris segmentation stage to make an iris recognition system with efficient use. For efficient iris recognition system we need the best tools in every stage it encountered. This book concentrates on iris localization for that reason. Because if it smooth the way of the segmentation stage for iris recognition, the whole system’s output will be successful.

Iris recognition system: Digital image processing

Iris recognition system: Digital image processing
by Younus Javed (Author), Sadia Minhas (Author)


The iris recognition system utilizes image processing and computer vision in order to identify human beings. Most effective algorithms are employed to gather suitable patterns from an iris image. Then, mathematical analysis is carried out for collecting required features using efficient image enhancement techniques and feature extraction methodologies. The extracted features through six different schemes are compared exhaustively for matching with the iris images of individuals already stored in the database. The low cost of development of the proposed iris recognition system encourages its application in majority of the organizations and establishments. The experimental work presented in this book provides detailed and critical analysis using three experiments. Various components of the...

Iris Recognition: Matrix Index Distance Method: Basic, Solving Procedure and Discussion

Iris Recognition: Matrix Index Distance Method: Basic, Solving Procedure and Discussion
by Shubhashis Kumar Shil (Author), Iftekhar Ibney Gias Remon (Author)


Iris recognition has received increasing attention recently in the world. A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as themost reliable and accurate biometric identification system available. Most commercialiris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favorable conditions, and there have been no independent trials of the technology. This research presents an iris recognition system in order to verify both theuniqueness of the human iris and also its performance as a biometric identification andalso focuses on...

Iris Recognition In Eigen Space: A Book On Image Processing

Iris Recognition In Eigen Space: A Book On Image Processing
by Abhijit Das (Author)


This work proposes novel approaches for iris recognition in the context of biometric identification of a person. The iris is a portion of the inner eye of an individual and contains an abstract and randomly generated texture pattern arising from orientation of complex tissues within this region. This random pattern can provide a unique identifier of a person if a mathematical model can be built to represent and compare it. The manuscript consist of two approaches .In first approach the iris images are mapped to Eigen-space and a robust iris code signature is generated from different camera snapshots of the same eye to incorporate tonal and lighting variations. The covariance matrix of the images is computed and they are converted to a row vector, to enable real-time identification the...

© 2017 BrightSurf.com