Improved Local Correlation Method for Fingerprint Matching

被引：2

作者：

Li, Jiang ^{[1
]}

Tulyakov, Sergey ^{[2
]}

Govindaraju, Venu ^{[2
]}

机构：

[1] Quincy Univ, Dept Comp Sci, Quincy, IL 62301 USA

[2] Univ Buffalo, CUBS, Buffalo, NY USA

来源：

2014 SECOND INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR) | 2014年

关键词：

fingerprint matching; local correlation; gradient decent; image registration; image enhancement; ENHANCEMENT; ALGORITHM;

D O I：

10.1109/CANDAR.2014.82

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In our previous study, we presented the idea of verifying minutiae based fingerprint match by local correlation methods, where both the global minutiae distribution structure and the local matching similarity between the two fingerprints are considered. In this paper, we conduct two algorithms to enhance the evaluation of local correlation score, thus improve our previous local correlation fingerprint matching method. The local image enhancement algorithm is used to improve the quality of the fingerprint image, based upon local ridge information, when the correlation score is calculated. The gradient decent algorithm is used to boost the speed of local fingerprint image registration around the potential matching areas. FVC2002 DB1 database is used to test the proposed approaches. Experimental result shows the improvement on both time and precision.

引用

页码：560 / 562

页数：3

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