关键词: 指纹匹配, 特征融合, 残缺指纹

Abstract: Most of the fingerprint matching algorithms used in automatic fingerprint identification systems (AFIS) are based on the accurate extraction of minutiae. However, when these methods are used to deal with highly distorted, rotational, and usually partial fingerprints collected from crime screen, their performance drops significantly. On the basis of similar triangle matching algorithm, this paper conquers scale problem by finding the positional relationship between SIFT (scale invariant feature transform) feature and second level feature. In addition, this paper also proposes a Bayesian statistical inference method to fuse the two kinds of algorithms, which is named as similar triangle SIFT feature (STSF) algorithm. The experimental results show that STSF algorithm effectively increases the precision and efficiency of partial fingerprints matching.

Key words: fingerprint matching, feature fusion, partial fingerprint