Fingerprint image segmentation based on Gaussian-Hermite moments

被引：0
|
作者：
Wang, L
Suo, H
Dai, M
机构：
[1] Univ Michel Montaigne Bordeaux 3, Inst EGID, F-33607 Pessac, France
[2] Guizhou Univ Ethn Minorit, Dept Math, Guiyang 550025, Peoples R China
来源：
ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS | 2005年 / 3584卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An important step in automatic fingerprint recognition systems is the segmentation of fingerprint images. In this paper, we present an adaptive algorithm based on Gaussian-Hermite moments for non-uniform background removing in fingerprint image segmentation. Gaussian-Hermite moments can better separate image features based on different modes. We use Gaussian-Hermite moments of different orders to separate background and foreground of fingerprint image. Experimental results show that the use of Gaussian-Hermite moments makes a significant improvement for the segmentation of fingerprint images.
引用
收藏
页码：446 / 454
页数：9
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