Advances in Biometrics: Sensors, Algorithms and Systems / Edition 1

Advances in Biometrics: Sensors, Algorithms and Systems / Edition 1

by N. K. Ratha
     
 

Biometrics technology continues to stride forward with its wider acceptance and its real need in various new security facets of modern society. From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management.

With contributions from academia and industry by leading

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Overview

Biometrics technology continues to stride forward with its wider acceptance and its real need in various new security facets of modern society. From simply logging on to a laptop to crossing the border of a country, biometrics is being called upon to meet the growing challenges of identity management.

With contributions from academia and industry by leading international authorities in the field, this unique book presents a comprehensive treatment of biometrics and offers coverage of the entire gamut of topics in the field, including data acquisition, pattern-matching algorithms, and issues that impact at the system level, such as standards, security, networks, and databases. It has been organized under three sections: sensors, advances in biometric matching algorithms, and topics that deal with issues at the systems level.

Key features:

• Includes new algorithmic advances, including physiological biometrics (face from video, iris at a distance) and behavioral (handwriting, voice) and a strikingly novel modality in headprint biometrics

• Contains new modalities for research, such as infrared and multispectral imaging

• Presents several chapters on the much overlooked area relating to the sensors themselves for the various biometric modalities

• Emphasizes the advances and cutting-edge technologies throughout

• Discusses systems level both from a human-factors point of view and the perspective of networking, databases, privacy and anti-spoofing

• Incorporates chapters devoted to touchless image capture, ultrasonic imaging and swipe methods

Written for researchers and advanced students, this much needed concise volume is an ideal tool to use as a ready reference and captures the very latest in state-of-the-art research, providing readers with a broader and deeper understanding of the topic.

Dr Nalini K. Ratha is a Research Staff Member at the IBM Thomas J. Watson Research Center, New York. He co-edited the successful Automatic Fingerprint Recognition Systems and also co-authored A Guide to Biometrics Selection and System Design

Professor Venu Govindaraju is Director at the Center for Unified Biometrics and Sensors (CUBS), University at Buffalo, State University of New York.

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Product Details

ISBN-13:
9781846289200
Publisher:
Springer London
Publication date:
11/07/2007
Edition description:
2008
Pages:
503
Product dimensions:
9.21(w) x 6.14(h) x 1.13(d)

Table of Contents

Multispectral Fingerprint Image Acquisition.- Touchless fingerprinting Technology.- A single-line AC capacitative fingerprint swipe sensor.- Ultrasonic Sensors for Capturing Livescan of Fingerprint Biometrics.- Palm Vein Authentication.- Finger Vein Authentication Technology and financial Applications.- Iris Recognition in Less Constrained Environments.- Ocular Biometrics: Simultaneous Capture and Analysis of the Retina and iris.- Face recognition beyond the visible spectrum.- Voice-based Speaker Recognition Combining Acoustic and Stylistic Features.- Conversational Biometrics.- Function-based On-line Signature Verification.- Writer Identification and Verification.- Improved Iris Recognition Using Probabilistic Information from Correlation Filters.- Headprint based human recognition.- Pose and Illumination Issues in Face and Gait-based Human Identification.- Strategies for improving face recognition from Video.- Large Population face recognition using correlation filters.- SVDD-based Face Reconstruction in Degraded Images.- Fingerprint Synthesis and Spoof Detection.- Match-on-Card for Secure and Scalable Biometric Authentication.- Privacy and Security Enhancements in Biometrics.- Adaptive Biometric Systems that can Improve with Use.- Biometric Standards.

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