Biometric Authentication

Citation

Rigelsford, J. (2003), "Biometric Authentication", Sensor Review, Vol. 23 No. 4. https://doi.org/10.1108/sr.2003.08723dae.001

Biometric Authentication

Biometric Authentication

M. Tistarelli, J. Bigun and A.K. Jain (Eds)Springer2002373 pp.ISBN 3-540-43723-1£33.50

Keyword: Biometrics

"Biometric Authentication" presents the proceedings of the international ECCV 2002 workshop help in Copenhagen, Denmark. The book aims to assist in the development of next generation biometric authentication systems, especially as multi-model biometric systems become more popular and overcome some of the limitations associated with the individual biometric systems.

The book contains 19 chapters divided into seven focal areas. Section 1, Face Recognition I, presents four papers which address topics including "An Incremental Learning Algorithm for Face Recognition", "Face Recognition Based on ICA Combined with FLD" and "Understanding Iconic-Based Face Biometrics". "Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment", "Fingerprint Matching Using Feature Space Correlation" and "Fingerprint Minutiae: A Constructive Definition" are presented in Section 2, Fingerprint Recognition.

The third part of the book addresses the relatively unexplored field of Psychology and Biometrics. It discusses "Pseudo-entropy Similarity for Human Biometrics" and "Mental Characteristics of Person as Basic Biometrics". Sections 4 and 5 address Face Detection and Localization, and Face Recognition II, respectively. Papers presented include "Detection of Frontal Faces in Video Streams", "Coarse to Fine Face Detection Based on Skin Color Adaption", "Robust Face Recognition Using Dynamic Space Warping" and "Subspace Classification for Face Recognition".

"Gait Appearance for Recognition", "View-invariant Estimation of Height and Stride for Gait Recognition" and "Improvement of On-line Signature Verification System Robust to Intersession Variability" are addressed in section six, Gait and Signature Analysis. The final part of the book presents Classifier Recognition. This includes "Biometric Identification in Forensic Cases According to the Bayesian Approach" and "A New Quadratic Classifier Applied to Biometric Recognition".

Overall, this book provides broad coverage of the recent developments in biometric authentication. It will be of interest to students and researchers from engineering and bioscience disciplines, as well as the casual reader who is interested in this rapidly emerging and fascinating subject.