Image pattern recognition: Synthesis & analysis in biometrics (Series in Machine perception & artificial intelligence, Vol. 67)

The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual. The other side of the biometrics coin is biometric synthesis — rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions. This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies — human identifiation by analysis of biometric data — is extended to include the new discipline of biometric synthesis.

Analysis in Biometrics: A Statistical Model for Biometric Verification. Force Field Feature Extraction for Ear Biometrics. Behavior Biometrics for Online Computer User Monitoring. Synthesis in Biometrics: Introduction to Synthesis in Biometrics. Local B-Spline Multiresolution with Example in Iris Synthesis and Volumetric Rendering. Computational Geometry and Biometrics: On the Path to Convergence. Biometric Systems and Applications: Large-Scale Biometric Identification: Challenges and Solutions. Issues Involving the Human Biometric Sensor Interface. Signature Analysis, Verification and Synthesis in Pervasive Environments.