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2011 International Conference on Wavelet Analysis and Pattern Recognition

DOI: 10.1109/icwapr.2011.6014495

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A novel matching technique for fingerprint recognition by graphical structures

Proceedings article published in 2011 by Zhifan Gao, Xinge You, Long Zhou, Wu Zeng
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Fingerprint matching is an important issue in auto­ matic fingerprint identification systems. There are dif­ ficulties about fingerprint matching based on neighbor­ hood. One is the size of the neighborhood can not be determined readily, the other is the feature in the neigh­ borhood can be affected by the noise. To deal with these problem, we developed a novel algorithm for fingerprint matching based on local structures to efficiently extract neighboring minutiae features. Neighboring features present the information of peripheral minutiae which directly connect with the central minutiae on topology. We use one feature vector to present neighboring fea­ tures from different samples. The samples considered as the same class can make the proposed algorithm robust to rotation and translation of fingerprint images. The experiments are conducted on FVC2002, and the results illustrate the effectiveness of the proposed algorithm.