Fingerprint minutiae matching without global alignment using local structures

被引:3
作者
Kisel, Andrej [1 ]
Kochetkov, Alexej [1 ]
Kranauskas, Justas [1 ]
机构
[1] Vilnius State Univ, Fac Math & Informat, Dept Comp Sci 2, Vilnius, Lithuania
关键词
alignment; fingerprint identification; local structures; minutiae matching;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a method of minutiae based fingerprint matching that is robust to deformations and does not do fingerprint alignment. It concentrates on comparing rotation and translation invariant local structures defined by minutiae point and its neighboring minutiae points. Then the collection of most probable correspondences of matched minutiae is found. Finally, the local structures of higher order are validated. All three steps are completely rotation and translation invariant, robust to nonlinear deformations and do not use any fingerprint alignment. Experimental results on publicly available as well as internal databases show an improved performance of the proposed method in comparison with the traditional minutiae based algorithms that perform fingerprint registration.
引用
收藏
页码:31 / 44
页数:14
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