计算机技术与发展2012，Vol.22Issue(9)：131-134,4.
基于拓扑学及指纹分类的指纹匹配算法
A Fingerprint Matching Algorithm Based on Topology and Fingerprint Classification
摘要
Abstract
With the rapid development of computer and network technology, the intelligent identity authentication technology based on the recognition of biological features has received the widespread attention. In numerous biological recognition technology, fingerprint recognition technology is the earliest developed and the most widely used. In this paper,on the basis of the characteristics of the fingerprint minutiae in the fingerprint image, a recognition algorithm based on the topological theory and fingerprint classification is given. The algorithm is using the information of the core point and the delta point for fingerprint classification and match at the beginning, and then using the difference of the value of the orientation field between the bifurcation points with high reliability and the core point to find the reference points, at last, using the variable bounding box to match the fingerprint. In the experiments, the algorithm makes the matching speed improved by 40% , and decline the error rate and rejection rate about 0.5%. The results of the experiments show that, the algorithm can quickly, accurately locate the reference points, effectively solve the problem that the noise interferences the reference points screening, correctly and effectively match the fingerprint, and improve the matching speed and accuracy.关键词
指纹分类/拓扑学/分叉点/可变限界盒Key words
fingerprint classification/ topology/ bifurcation point/ variable bounding box分类
信息技术与安全科学引用本文复制引用
任伟建,雷声,康朝海,滕飞..基于拓扑学及指纹分类的指纹匹配算法[J].计算机技术与发展,2012,22(9):131-134,4.基金项目
黑龙江省教育科学技术研究项目(12511014) （12511014）
