A system for fingerprint minutiae classification and recognition

This paper shows a study about biometrics characteristics for recognition/classification and presents how it is used for individual recognition. The approach uses the automated fingerprint recognition based on minutia, which are extracted directly from the finger prints and the methodology used to its recognition is the artificial neural networks (ANN) based system. The neocognitron model was the ANN chosen. Inasmuch as neocognitron was originally implemented for handwritten characters recognition, it is possible to verify its usefulness for another kind of pattern recognition. Finally it is presented the results for this system and the conclusions according to the number of samples and recognition rate.