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Deep Learning for Biometrics

Overview of attention for book
Cover of 'Deep Learning for Biometrics'

Table of Contents

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    Book Overview
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    Chapter 1 The Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep Learning
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    Chapter 2 Real-Time Face Identification via Multi-convolutional Neural Network and Boosted Hashing Forest
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    Chapter 3 CMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face Detection
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    Chapter 4 Latent Fingerprint Image Segmentation Using Deep Neural Network
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    Chapter 5 Finger Vein Identification Using Convolutional Neural Network and Supervised Discrete Hashing
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    Chapter 6 Iris Segmentation Using Fully Convolutional Encoder–Decoder Networks
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    Chapter 7 Two-Stream CNNs for Gesture-Based Verification and Identification: Learning User Style
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    Chapter 8 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)
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    Chapter 9 Gender Classification from NIR Iris Images Using Deep Learning
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    Chapter 10 Deep Learning for Tattoo Recognition
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    Chapter 11 Learning Representations for Cryptographic Hash Based Face Template Protection
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    Chapter 12 Deep Triplet Embedding Representations for Liveness Detection
Attention for Chapter 8: 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)
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