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Advances in Computer Vision and Pattern Recognition

Deep Learning for Biometrics

Editors: Bhanu, Bir, Kumar, Ajay (Eds.)

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  • 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
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eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-319-61657-5
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  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-319-61656-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-3-319-87128-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.

Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits  deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories.

Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.

About the authors

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 BioinformaticsDistributed 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.

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)


Table of contents (12 chapters)

Table of contents (12 chapters)
  • The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning

    Pages 3-31

    Grill-Spector, Kalanit (et al.)

  • Real-Time Face Identification via Multi-convolutional Neural Network and Boosted Hashing Forest

    Pages 33-55

    Vizilter, Yury (et al.)

  • CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection

    Pages 57-79

    Zhu, Chenchen (et al.)

  • Latent Fingerprint Image Segmentation Using Deep Neural Network

    Pages 83-107

    Ezeobiejesi, Jude (et al.)

  • Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing

    Pages 109-132

    Xie, Cihui (et al.)

Buy this book

eBook $119.00
price for USA in USD (gross)
  • ISBN 978-3-319-61657-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-3-319-61656-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.99
price for USA in USD
  • ISBN 978-3-319-87128-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning for Biometrics
Editors
  • Bir Bhanu
  • Ajay Kumar
Series Title
Advances in Computer Vision and Pattern Recognition
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-61657-5
DOI
10.1007/978-3-319-61657-5
Hardcover ISBN
978-3-319-61656-8
Softcover ISBN
978-3-319-87128-8
Series ISSN
2191-6586
Edition Number
1
Number of Pages
XXXI, 312
Number of Illustrations
21 b/w illustrations, 96 illustrations in colour
Topics