Advances in Computer Vision and Pattern Recognition

Deep Learning for Biometrics

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

  • 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 91,62 €
price for India (gross)
  • ISBN 978-3-319-61657-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover 109,99 €
price for India (gross)
  • ISBN 978-3-319-61656-8
  • 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.

Table of contents (12 chapters)

  • The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning

    Grill-Spector, Kalanit (et al.)

    Pages 3-31

    Preview Buy Chapter 24,95 €
  • Real-Time Face Identification via Multi-convolutional Neural Network and Boosted Hashing Forest

    Vizilter, Yury (et al.)

    Pages 33-55

    Preview Buy Chapter 24,95 €
  • CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection

    Zhu, Chenchen (et al.)

    Pages 57-79

    Preview Buy Chapter 24,95 €
  • Latent Fingerprint Image Segmentation Using Deep Neural Network

    Ezeobiejesi, Jude (et al.)

    Pages 83-107

    Preview Buy Chapter 24,95 €
  • Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing

    Xie, Cihui (et al.)

    Pages 109-132

    Preview Buy Chapter 24,95 €

Buy this book

eBook 91,62 €
price for India (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 109,99 €
price for India (gross)
  • ISBN 978-3-319-61656-8
  • 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
eBook ISBN
978-3-319-61657-5
DOI
10.1007/978-3-319-61657-5
Hardcover ISBN
978-3-319-61656-8
Series ISSN
2191-6586
Edition Number
1
Number of Pages
XXXI, 312
Number of Illustrations and Tables
21 b/w illustrations, 96 illustrations in colour
Topics