Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables

被引：28

作者：

Almansa, A ^{[1
]}

Cohen, L ^{[1
]}

机构：

[1] ENS Cachan, CMLA, F-94235 Cachan, France

来源：

FIFTH IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION, PROCEEDINGS | 2000年

关键词：

D O I：

10.1109/WACV.2000.895400

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A common approach in fingerprint matching algorithms consists of minimizing a similarity measure between feature vectors of both images, over a set of linear transformations of one image to the other In this work we propose the thin-plate spline as a more accurate model for the geometric transformations that arise in fingerprint images. In addition we show how such a model can be integrated into a matching algorithm by means of a two-step iterative minimization with auxiliary variables. Such a method allows to correct many of the false pairings of minutiae commonly found by matching algorithms based on linear transforms.

引用

页码：35 / 40

页数：6

共 17 条

[1]

ALMANSA A, 1999, FINGERPRINT ENHANCEM

[2] IMAGE WARPING BY RADIAL BASIS FUNCTIONS - APPLICATION TO FACIAL EXPRESSIONS [J].