A systematic approach for feature extraction in fingerprint images

被引：0

作者：

Chikkerur, S ^{[1
]}

Wu, CH ^{[1
]}

Govindaraju, V ^{[1
]}

机构：

[1] SUNY Coll Buffalo, CUBS, Buffalo, NY 14222 USA

来源：

BIOMETRIC AUTHENTICATION, PROCEEDINGS | 2004年 / 3072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：

Fingerprint image enhancement and feature extraction are the most important stages in fingerprint verification. The robustness of the system depends entirely upon its ability to enhance bad quality images and reliably extract minutiae from it. In this paper we propose two original algorithms for the extraction of global and local features in fingerprint images. A global feature extraction and enhancement algorithm based on Fourier analysis that is simultaneously able to extract local ridge orientation, ridge frequency and ridge quality measure is proposed. A novel algorithm for minutiae feature extraction and post processing based on chain coded contour following is also presented.

引用

页码：344 / 350

页数：7

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