IMAGE PATTERN RECOGNITION
Synthesis and Analysis in Biometrics
edited by Svetlana N Yanushkevich, Marina L Gavrilova (University of Calgary, Canada), Patrick S P Wang (Northeastern University, USA) & Sargur N Srihari (State University of New York at Buffalo, USA)
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 identification by analysis of biometric data � is extended to include the new discipline of biometric synthesis.
Contents:
- Synthesis in Biometrics:
- Introduction to Synthesis in
Biometrics (S Yanushkevich et al.)
- Local B-Spline Multiresolution with Example in Iris Synthesis and Volumetric Rendering (F F Samavati et al.)
- Computational Geometry and Image Processing in Biometrics: On the Path to Convergence (M L Gavrilova)
- Analysis in Biometrics:
- A Statistical Model for Biometric Verification (S Srihari & H Srinivasan)
- Force Field Feature Extraction for Ear Biometrics (D Hurley)
- Behavioral Biometrics for Online Computer User Monitoring (A A E Ahmed & I Traor�)
- Biometric Systems and Applications:
- Large-Scale Biometric Identification: Challenges and Solutions (N K Ratha et al.)
- Issues Involving the Human Biometric Sensor Interface (S J Elliott et al.)
- Fundamentals of Biometric-Based Training System Design (S N Yanushkevich et al.)
- and other papers
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Readership: Researchers, undergraduates and graduates in biometrics and
imaging computer science; developers and customers of biometric devices.
