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Deep biometrics

Authors :
Jiang, Richard
Li, Chang-Tsun
Crookes, Danny
Meng, Weizhi
Rosenberger, Christophe
Lancaster University
Charles Sturt University [Australia]
School of Mathematics and Physics, Queen’s University Belfast, Belfast
Technical University of Denmark [Lyngby] (DTU)
Equipe SAFE - Laboratoire GREYC - UMR6072
Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC)
Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN)
Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN)
Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN)
Normandie Université (NU)
Source :
springer, 2020
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; 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.Highlights the impact of deep learning over the field of biometrics in a wide area;Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.;Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

Details

Language :
English
Database :
OpenAIRE
Journal :
springer, 2020
Accession number :
edsair.dedup.wf.001..4a3ea1b9ea532082908f2a3209021c65