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.
Biometric Techniques in Fingerprint and Face Recognition presents a thorough treatment of established and emerging applications and techniques relevant to this field so rich with opportunity.
Introduction to Fingerprint Recognition, U. Halici, L.C. Jain, and A. Erol
Fingerprint Feature Processing Techniques and Poroscopy, A.R. Roddy and J.D. Stosz
Fingerprint Sub-Classification: A Neural Network Approach, G.A. Drets and H.G. Leljecström
A Gabor Filter-Based Method for Fingerprint Identification, Y. Hamamoto
Minutiae Extraction and Filtering from Gray-Scale Images, D. Maio and D. Maltoni
Feature Selective Filtering for Ridge Extraction, A. Erol, U. Halici, and G. Ongun
Introduction to Face Recognition, A.J. Howell
Neural Networks for Face Recognition, A.S. Pandya and R.R. Szabo
Face Unit Radial Basis Function Networks, A.J. Howell
Face Recognition from Correspondence Maps, R.P. Würtz
Face Recognition by Elastic Bunch Graph Matching, L. Wiskott, J.-M. Fellous, N. Krüger, and C. von der Malsburg
Facial Expression Synthesis Using Radial Basis Function Networks, I. King and X.Q. Li
Recognition of Facial Expressions and Its Application to Human Computer Interaction, T. Onisawa and S. Kitazake