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OverviewAutomatic person authentication, the identification and verification of an individual as such, has increasingly been acknowledged as a significant aspect of various security applications. Various recognition and identification systems have been based on biometrics utilizing biometric features such as fingerprint, face, retina scans, iris patterns, hand geometry, DNA traces, gait, and others.This book originates from an international summer school on biometrics, held in Alghero, Italy, in June 2003. The seven revised tutorial lectures by leading researchers introduce the reader to biometrics-based person authentication, fingerprint recognition, gait recognition, various aspects of face recognition and face detection, topologies for biometric recognition, and hand detection. Also included are the four best selected student papers, all dealing with face recognition. Full Product DetailsAuthor: Massimo Tistarelli , Josef Bigun , Enrico GrossoPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 2005 ed. Volume: 3161 Dimensions: Width: 15.50cm , Height: 0.90cm , Length: 23.50cm Weight: 0.570kg ISBN: 9783540262046ISBN 10: 3540262040 Pages: 164 Publication Date: 03 June 2005 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsCombining Biometric Evidence for Person Authentication.- Combining Biometric Evidence for Person Authentication.- Biometric Gait Recognition.- A Tutorial on Fingerprint Recognition.- Spiral Topologies for Biometric Recognition.- Statistical Learning Approaches with Application to Face Detection.- Hand Detection by Direct Convexity Estimation.- Template-Based Hand Detection and Tracking.- Student Papers.- 3D Face Recognition Using Stereoscopic Vision.- Selection of Location, Frequency, and Orientation Parameters of 2D Gabor Wavelets for Face Recognition.- A Face Recognition System Based on Local Feature Characterization.- Influence of Location over Several Classifiers in 2D and 3D Face Verification.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |