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Advanced Studies in Biometrics [electronic resource] :Summer School on Biometrics, Alghero, Italy, June 2-6, 2003. Revised Selected Lectures and Papers /

Contributor(s): Tistarelli, Massimo [editor.] | Bigun, Josef [editor.] | Grosso, Enrico [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 3161Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: VIII, 164 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540286387.Subject(s): Computer science | Computer graphics | Image processing | Pattern recognition | Management information systems | Computer Science | Pattern Recognition | Image Processing and Computer Vision | Management of Computing and Information Systems | Computer GraphicsOnline resources: Click here to access online
Contents:
Combining 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.
In: Springer eBooksSummary: Automatic 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.
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Combining 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.

Automatic 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.

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