Biometric Authentication: International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings / Edition 1

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This book constitutes the refereed proceedings of the International Workshop on Biometric Authentication held in Copenhagen, Denmark, in June 2001 as a satellite event of ECCV 2002.
The 19 revised full papers presented were carefully reviewed. The papers are organized in topical sections on face recognition, fingerprint recognition, psychology and biometrics, face detection and localization, gait and signature recognition, and classifiers for recognition.

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Product Details

  • ISBN-13: 9783540437239
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 8/5/2002
  • Series: Lecture Notes in Computer Science Series, #2359
  • Edition description: 2002
  • Edition number: 1
  • Pages: 202
  • Product dimensions: 9.21 (w) x 6.14 (h) x 0.46 (d)

Table of Contents

Face Recognition I.- An Incremental Learning Algorithm for Face Recognition.- Face Recognition Based on ICA Combined with FLD.- Understanding Iconic Image-Based Face Biometrics.- Fusion of LDA and PCA for Face Verification.- Fingerprint Recognition.- Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment.- Fingerprint Matching Using Feature Space Correlation.- Fingerprint Minutiae: A Constructive Definition.- Psychology and Biometrics.- Pseudo-entropy Similarity for Human Biometrics.- Mental Characteristics of Person as Basic Biometrics.- Face Detection and Localization.- Detection of Frontal Faces in Video Streams.- Genetic Model Optimization for Hausdorff Distance-Based Face Localization.- Coarse to Fine Face Detection Based on Skin Color Adaption.- Face Recognition II.- Robust Face Recognition Using Dynamic Space Warping.- Subspace Classification for Face Recognition.- Gait and Signature Analysis.- Gait Appearance for Recognition.- View-invariant Estimation of Height and Stride for Gait Recognition.- Improvement of On-line Signature Verification System Robust to Intersession Variability.- Classifiers for Recognition.- Biometric Identification in Forensic Cases According to the Bayesian Approach.- A New Quadratic Classifier Applied to Biometric Recognition.

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