The tremendous world-wide interest in intelligent biometric techniques in fingerprint and face recognition is fueled by the myriad of potential applications, including banking and security systems, and limited only by the imaginations of scientists and engineers. This growing interest poses new challenges to the fields of expert systems, neural networks, fuzzy systems, and evolutionary computing, which offer the advantages of learning abilities and human-like behavior. Authored by a panel of international experts, this book presents a thorough treatment of established and emerging applications and techniques relevant to this field.
Author(s): Shigeyoshi Tsutsui
Series: International Series on Computational Intelligence
Publisher: CRC Press
Year: 1999
Language: English
Pages: 473
City: Boca Raton
Cover
Title Page
Copyright Page
Series Editor
Preface
Table of Contents
Chapter 1: Introduction to Fingerprint Recognition
Chapter 2: Fingerprint Feature Processing Techniques and Poroscopy
Chapter 3: Fingerprint Sub-Classification: A Neural Network Approach
Chapter 4: A Gabor Filter-Based Method for Fingerprint Identification
Chapter 5: Minutiae Extraction and Filtering from Gray-Scale Images
Chapter 6: Feature Selective Filtering for Ridge Extraction
Chapter 7: Introduction to Face Recognition
Chapter 8: Neural Networks for Face Recognition
Chapter 9: Face Unit Radial Basis Function Networks
Chapter 10: Face Recognition from Correspondence Maps
Chapter 11: Face Recognition by Elastic Bunch Graph Matching
Chapter 12: Facial Expression Synthesis Using Radial Basis Function Networks
Chapter 13: Recognition of Facial Expressions and Its Application to Human Computer Interaction
Index