NEURAL NETWORKS FOR FINGERPRINT RECOGNITION

被引：103

作者：

BALDI, P

CHAUVIN, Y

机构：

[1] CALTECH,DIV BIOL,PASADENA,CA 91109

[2] NET ID INC,STANFORD,CA 94305

[3] STANFORD UNIV,DEPT PSYCHOL,STANFORD,CA 94305

来源：

NEURAL COMPUTATION | 1993年 / 5卷 / 03期

关键词：

D O I：

10.1162/neco.1993.5.3.402

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

After collecting a data base of fingerprint images, we design a neural network algorithm for fingerprint recognition. When presented with a pair of fingerprint images, the algorithm outputs an estimate of the probability that the two images originate from the same finger. In one experiment, the neural network is trained using a few hundred pairs of images and its performance is subsequently tested using several thousand pairs of images originated from a subset of the data base corresponding to 20 individuals. The error rate currently achieved is less than 0.5%. Additional results, extensions, and possible applications are also briefly discussed.

引用

页码：402 / 418

页数：17