A COMPARATIVE STUDY ON QUALITY ASSESSMENT OF HIGH RESOLUTION FINGERPRINT IMAGES

被引：13

作者：

Zhao, Qijun ^{[1
]}

Liu, Feng ^{[1
]}

Zhang, Lei ^{[1
]}

Zhang, David ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Biometr Res Ctr, Kowloon, Hong Kong, Peoples R China

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Fingerprint Recognition; Quality Assessment; High Resolution Fingerprint Images;

D O I：

10.1109/ICIP.2010.5648800

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images to improve the recognition accuracy. It is however still an open issue whether or not existing quality assessment methods are suitable for high resolution fingerprint images. This paper compares some typical quality indexes by analyzing the correlation between them and their prediction ability on minutia-based and pore-based high resolution fingerprint recognition accuracy. Experimental results show that the indexes based on ridge orientation are more effective for high resolution fingerprint recognition systems.

引用

页码：3089 / 3092

页数：4

共 13 条

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