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Advances in Biometrics for Secure Human Authentication and Recognition

By: Dakshina Ranjan Kisku (Edited by) , Jamuna Kanta Sing (Edited by) , Phalguni Gupta (Edited by)

Extended Catalogue

Ksh 34,200.00

Format: Hardback or Cased Book

ISBN-10: 1466582421

ISBN-13: 9781466582422

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Dec 9th, 2013

Publication Status: Active

Product extent: 352 Pages

Weight: 638.00 grams

Dimensions (height x width x thickness): 24.10 x 16.20 x 2.50 cms

Product Classification / Subject(s): Computer security

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  • Description

  • Reviews

This book showcases the technologies and algorithms being used for human authentication and recognition. Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional biometric techniques as well as novel systems developed over the past few years. It includes coverage of new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems. The text includes model question papers, mathematical notations, and exercises to reinforce understanding.

Although biometric systems present powerful alternatives to traditional authentication schemes, there are still many concerns about their security. Advances in Biometrics for Secure Human Authentication and Recognition showcases some of the latest technologies and algorithms being used for human authentication and recognition.

Examining the full range of biometrics solutions, including unimodal and multimodal biometrics, the book covers conventional techniques as well as novel systems that have been developed over the past few years. It presents new biometric algorithms with novel feature extraction techniques, new computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems.

Filled with comprehensive graphical and modular illustrations, the text covers applications of affective computing in biometrics, matching sketch to photograph, cryptography approaches in biometrics, biometrics alteration, heterogeneous biometrics, and age invariant biometrics. It also presents biometrics algorithms with novel feature extraction techniques, computer vision approaches, soft computing approaches, and machine learning techniques under a unified framework used in biometrics systems.

Containing the work of some of the world’s most respected biometrics researchers, the book includes model question papers, mathematical notations, and exercises to reinforce understanding. Providing an up-to-date review of intelligence techniques and theories used in biometric technologies for secure human authentication and identification, this is an essential reference for researchers, scholars, graduate students, engineers, practitioners, and developers in the field of biometrics and its related fields.


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