融合指纹特征匹配系统的个人身份识别

2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT) Pub Date : 2013-07-04 DOI:10.1109/ICCCNT.2013.6726468

Pratixa I Mistry, C. Paunwala

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引用次数: 5

摘要

指纹是最受欢迎的生物识别技术，因为它易于使用，其特点是高度可靠的。文献中已经报道了许多指纹匹配算法，在所有的算法中都使用了细节匹配。本文提出了一种改进的融合算法。该方法采用一种基于Delaunay三角形的结构技术，由细节构成，对匹配的候选三角形使用局部二值模式(LBP)提取局部脊纹理信息。在这里三角形匹配分数被赋予一个完整的权重，细部匹配分数被赋予每个需要的权重。实验结果表明，该算法是有效可靠的。算法在FVC 2004大赛的DB1数据库上进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fusion fingerprint minutiae matching system for personal identification

Fingerprint is most popular biometric because it can easily used and its features are highly reliable. Many fingerprint matching algorithm have been reported in literatures and in all most algorithms minutiae matching is used. In this paper modified fusion algorithm is proposed. It uses one technique of structure with Delaunay triangle's based, formed by minutiae, and for matched candidate triangle local ridge texture information is extracted using Local Binary Pattern (LBP). Here triangle matching score is given a full weightage and minutiae matching score is given weightage as per requirement. The experimental results show that proposed algorithm is effective and reliable. Algorithm is tested on a DB1 Database of FVC 2004 competition.

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2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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