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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 358
Weight: 5737 g
Dimensions: 235 x 155 x 20 mm
Edition: 2013 ed.
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)