Fr. 168.00

Iris Biometrics - From Segmentation to Template Security

English · Paperback / Softback

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Description

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Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.

List of contents

The Human Iris as a Biometric Identifier.- Iris Biometric Processing.- State-of-the-Art in Iris Biometrics.- Eye Detection.- Iris Segmentation Methodologies.- Multi-Stage Real-Time Iris Preprocessing.- Experiments on Iris Image Processing.- Image Compression Impact on Iris Recognition.-Advanced Comparison Techniques for Challenging Iris Images.- Experiments on Biometric Comparators.- Iris Biometric Cryptosystems.- Cancelable Iris Biometrics.- Potential Attacks.- Experiments on Iris Biometric Template Protection.- Advances, Applications and Challenges.- Watermarking.

About the author

Peter Wild wohnt in Wangen an der Aare (Schweiz). Er leitet Meditations- und Heilseminare. Von 1967 bis 1992 lebte er als Benediktinermönch. In diesen Jahren begann seine intensive Suche im Rahmen der spirituellen Traditionen (Christentum, Hinduismus, Zen-Buddhismus, Tibetischer Buddhismus, Sufismus, Kabbala), eine Suche, die ihn bis heute beschäftigt.

Summary

Iris Biometrics: From Segmentation to Template Security provides critical analysis, challenges and solutions on recent iris biometric research topics, including image segmentation, image compression, watermarking, advanced comparators, template protection and more. Open source software is also provided on a dedicated website which includes feature extraction, segmentation and matching schemes applied in this book to foster scientific exchange. Current state-of-the-art approaches accompanied by comprehensive experimental evaluations are presented as well. This book has been designed as a secondary text book or reference for researchers and advanced-level students in computer science and electrical engineering. Professionals working in this related field will also find this book useful as a reference.

Additional text

From the reviews:
“The current text, written at the University of Salzburg, assembles the results of an impressive body of research on iris recognition and biometrics, and is a major contribution to the field. … This text is sure to find a place on the desk of any researcher currently involved in iris recognition systems and associated biometrics.” (Minette Carl and R. Goldberg, Computing Reviews, August, 2013)

Report

From the reviews:
"The current text, written at the University of Salzburg, assembles the results of an impressive body of research on iris recognition and biometrics, and is a major contribution to the field. ... This text is sure to find a place on the desk of any researcher currently involved in iris recognition systems and associated biometrics." (Minette Carl and R. Goldberg, Computing Reviews, August, 2013)

Product details

Authors Christia Rathgeb, Christian Rathgeb, Andrea Uhl, Andreas Uhl, Peter Wild
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2014
 
EAN 9781489986191
ISBN 978-1-4899-8619-1
No. of pages 358
Dimensions 155 mm x 235 mm x 20 mm
Weight 575 g
Illustrations XXII, 358 p.
Series Advances in Information Security
Advances in Information Security
Advances in Cyber Security
Subjects Natural sciences, medicine, IT, technology > IT, data processing > Application software

B, computer science, Computer Vision, Systems and Data Security, Data and Information Security, pattern recognition, Network Security, Computer security, Automated Pattern Recognition, Biometrics, Biometrics (Biology)

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