Overview
- The first dedicated work on advances in biometric identification capabilities using deep learning techniques
- Covers a broad range of deep learning integrated biometric techniques, including face, fingerprint, iris, gait, template protection, and issues of security
- Provides overviews of basic deep learning and biometrics topics for novices in these fields, complete with references for further reading
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
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Keywords
Table of contents (12 chapters)
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Deep Learning for Face Biometrics
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Deep Learning for Fingerprint, Fingervein and Iris Recognition
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Deep Learning for Soft Biometrics
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Deep Learning for Biometrics Security and Protection
Reviews
“This book, which covers different deep learning neural architectures for solving an extended set of problems in the area of biometrics, is sure to catch the attention of scholars and researchers working in the field.” (CK Raju, Computing Reviews, February, 2019)
Editors and Affiliations
About the editors
Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video.
Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University.
Bibliographic Information
Book Title: Deep Learning for Biometrics
Editors: Bir Bhanu, Ajay Kumar
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-61657-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-61656-8Published: 15 August 2017
Softcover ISBN: 978-3-319-87128-8Published: 12 May 2018
eBook ISBN: 978-3-319-61657-5Published: 01 August 2017
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XXXI, 312
Number of Illustrations: 21 b/w illustrations, 96 illustrations in colour
Topics: Artificial Intelligence, Biometrics, Mathematical Applications in Computer Science, Signal, Image and Speech Processing