Deep biometrics /

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 Autoe...

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Bibliographic Details
Group Author: Jiang, Richard; Li, Chang-Tsun; Crookes, Danny, 1956; Meng, Weizhi, 1986; Rosenberger, Christophe
Published: Springer,
Publisher Address: Cham :
Publication Dates: [2020]
Literature type: Book
Language: English
Series: Unsupervised and Semi-Supervised Learning,
Subjects:
Summary: 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, med
Carrier Form: viii, 320 pages : illustrations (chiefly color) ; 25 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9783030325824
3030325822
9783030325848
3030325849
9783030325855
3030325857
Index Number: TK7882
CLC: TP391.41
Call Number: TP391.41/D311-2
Contents: Introduction -- Part I -- New Methods in Biometrics -- Deep Biometrics: A Robust Approach to Biometrics in Big Data Issues -- Deep Fusion of Multimodal Biometrics -- Deep Fuzzy Logic for Precise Biometric Systems -- Hierarchical Biometric Verification with Deep Sparse Features -- GAN-based Deep Biometric Verification -- Part II -- New Advances in Deep Biometrics -- Deep Paleographic Handwriting Analysis for Author Identification -- Deep Palmprints versus Fingerprints: Rivals or Friends? -- A Survey on Deep Soft Biometrics for Forensic Analysis -- Robust Biometric Verification with Low Qualit