Advances in Biometrics: Sensors, Algorithms and Systems

Description

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. Front Matter....Pages i-xix Multispectral Fingerprint Image Acquisition....Pages 3-23 Touchless Fingerprinting Technology....Pages 25-48 A Single-Line AC Capacitive Fingerprint Swipe Sensor....Pages 49-62 Ultrasonic Fingerprint Sensors....Pages 63-74 Palm Vein Authentication....Pages 75-88 Finger Vein Authentication Technology and Financial Applications....Pages 89-105 Iris Recognition in Less Constrained Environments....Pages 107-131 Ocular Biometrics: Simultaneous Capture and Analysis of the Retina and Iris....Pages 133-155 Face Recognition Beyond the Visible Spectrum....Pages 157-180 Voice-Based Speaker Recognition Combining Acoustic and Stylistic Features....Pages 183-201 Conversational Biometrics: A Probabilistic View....Pages 203-224 Function-Based Online Signature Verification....Pages 225-245 Writer Identification and Verification....Pages 247-264 Improved Iris Recognition Using Probabilistic Information from Correlation Filters....Pages 265-285 Headprint-Based Human Recognition....Pages 287-306 Pose and Illumination Issues in Face- and Gait- Based Identification....Pages 307-322 SVDD-Based Face Reconstruction in Degraded Images....Pages 323-337 Strategies for Improving Face Recognition from Video....Pages 339-361 Large-Population Face Recognition (LPFR) Using Correlation Filters....Pages 363-382 Fingerprint Synthesis and Spoof Detection....Pages 385-406 Match-on-Card for Secure and Scalable Biometric Authentication....Pages 407-421 Privacy and Security Enhancements in Biometrics....Pages 423-445 Adaptive Biometric Systems That Can Improve with Use....Pages 447-471 Biometrics Standards....Pages 473-489 Back Matter....Pages 491-503