Advances in Biometrics for Secure Human Authentication and Recognition
1st Edition
Published on 9. December 2013
352 pages
978-1-4665-8243-9 (ISBN)
Description
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.
More details
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
87 s/w Abbildungen, 44 s/w Tabellen
87 b/w images and 44 tables
File size
15,77 MB
ISBN-13
978-1-4665-8243-9 (9781466582439)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Dakshina Ranjan Kisku | Phalguni Gupta | Jamuna Kanta Sing
Advances in Biometrics for Secure Human Authentication and Recognition
Book
10/2016
CRC Press
€88.90
Shipment within 10-20 days
Dakshina Ranjan Kisku | Phalguni Gupta | Jamuna Kanta Sing
Advances in Biometrics for Secure Human Authentication and Recognition
Book
12/2013
1st Edition
CRC Press
€215.41
Article not available at the moment
Persons
Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing
Content
Security and Reliability Assessment for Biometric Systems. Review of Human Recognition Based on Retinal Images. Visual Speech as Behavioral Biometric. Human Gait Signature for Biometric Authentication. Hand-Based Biometric for Personal Identification Using Correlation Filter Classifier. On Deciding the Dynamic Periocular Boundary for Human Recognition. Retention of Electrocardiogram Features Insignificantly Devalorized as an Effect of Watermarking for a Multimodal Biometric Authentication System. Facial Feature Point Extraction for Object Identification Using Discrete Contourlet Transform and Principal Component Analysis. Case Studies and Large Scale Biometric Systems. The Legal Aspects and Ethical Issues in the Use of Biometrics: A Study from Norway. Biometric Identification: Device Specification and Actual Performance Considered for the Operations of the Unique Identity Authority of India.
