Deep Biometrics (pdf)

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Author Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng, Christophe Rosenberger
Edition 1
Edition Year 2020
Format PDF
ISBN 9783030325824
Language English
Number Of Pages 559
Publisher springer

Description

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.

Additional information

Author

Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng, Christophe Rosenberger

Edition

1

Edition Year

2020

Format

PDF

ISBN

9783030325824

Language

English

Number Of Pages

559

Publisher

springer

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