• Introduction to the field with a review of the available literature
• Intelligent fingerprint processing for minutia and pore feature extraction and matching
• Fingerprint sub-classification using a multi-resolution neural network approach
• A Gabor filter-based method for identifying fingerprints
• Two gray-scale methods for minutiae extraction and filtering
• Enhancement algorithms for ridge or valley extraction and their experimental verification

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.