An Intelligent Automatic Fingerprint Recognition System Design

Authors:
Necla Ozkaya;Seref Sagiroglu;Arif Wani
Affiliations:
Erciyes University, Turkey;Gazi University, Turkey;California State University at Bakersfield, USA
Venue:
ICMLA '06 Proceedings of the 5th International Conference on Machine Learning and Applications
Year:
2006

Citing 0
Cited 2

Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint

ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
An intelligent automatic face contour prediction system

Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work presents an intelligent automatic fingerprint identification and verification system based on artificial neural networks. In this work, the design processes of the system have been presented step by step. In order to make the system automatic, software was developed for fingerprint identification and verification processes. 100 fingerprint images were used to test and evaluate the system. The results have shown that the task was achieved with high accuracy.