Artificial Neural Networks Based Fingerprint Authentication With Clusters Algorithm

Abstract

A novel and fast fingerprint identification technique is presented in this paper by using ANN. The proposed method use a novel clustering algorithm to detect similar feature groups from multiple template images generated from the same finger and create the cluster core set. The proposed feature extraction scheme is based on the reduction of information contents to the require minimum and define which part of the image is crucial and which is omitted. In the new method, a quick response was achieved by manipulating the search order inside the experimental databases. The novelty of our proposed method is to find the configuration of ANN system that could provide good generalization ability and sufficient discrimination capability at the same time. To achieve that goal, we have introduced new supervised recurrent neural-network. The experiments results demonstrate that this similarity search approach with ANN proves suitable one-to many matching of fingerprints on large databases. Povzetek: Hitro prepoznavanje prstnih odtisov je realizirano z ANN in grupiranjem.