Title :
A system for fingerprint minutiae classification and recognition
Author :
Arantes, Milene ; Ide, Alessandro Noriaki ; Saito, Jose Hiroki
Author_Institution :
Departamento de Computacao, Univ. Fed. de Sao Carlos, Brazil
Abstract :
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.
Keywords :
fingerprint identification; image classification; learning (artificial intelligence); neural nets; artificial neural network; automated recognition; biometrics characteristics; fingerprint minutiae classification; fingerprint recognition; individual recognition; neocognitron; Artificial neural networks; Bifurcation; Biological system modeling; Biometrics; Character recognition; Fingerprint recognition; Fingers; Handwriting recognition; Humans; Neurons;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1201939