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Author:   Bir Bhanu ,  Ajay Kumar
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Weight:   7.011kg
ISBN:  

9783319616568

ISBN 10:   3319616560
Pages:   312
Publication Date:   15 August 2017
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Deep Learning for Face Biometrics.- The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning.- Real-Time Face Identification via Multi-Convolutional Neural Network and Boosted Hashing Forest.- CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection.- Part II: Deep Learning for Fingerprint, Fingervein and Iris Recognition.- Latent Fingerprint Image Segmentation Using Deep Neural Networks.- Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing.- Iris Segmentation Using Fully Convolutional Encoder-Decoder Networks.- Part III: Deep Learning for Soft Biometrics.- Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style.- DeepGender2: A Generative Approach Toward Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN).- Gender Classification from NIR Iris Images Using Deep Learning.- Deep Learning for Tattoo Recognition.- Part IV: Deep Learning for Biometric Security and Protection.- Learning Representations for Cryptographic Hash Based Face Template Protection.- Deep Triplet Embedding Representations for Liveness Detection.

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)

“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) ​

Author Information

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.

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