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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Biometrics

Deep Biometrics

Li, Chang-Tsun
Crookes, Danny
Jiang, Richard

Hardcover

Series: Unsupervised and Semi-Supervised Learning

Technology & EngineeringAnatomy & PhysiologyComputer Security

ISBN10: 3030325822
ISBN13: 9783030325824
Publisher: Springer Nature
Published: Jan 29 2020
Pages: 320
Weight: 1.41
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it Deep Biometrics. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications.

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