摘要
提出一种新的指纹图像校准算法.通过多分辨率的方法对指纹奇异点进行定位,既保证奇异点位置的精确性,也减少运算时间.通过分析指纹图像的方向场,核心方向被精确而快速地计算出来.在这两者的基础上基准点得到有效确定,然后根据基准点的位置和方向对现场指纹和数据库中指纹进行校准.与通常所用的点模式校准算法相比,本文提出的算法在复杂度上有所降低.而且受图像质量的影响较小.初步实验结果表明本文方法的有效性.在指纹图像质量较好时,本文方法在实现效率上有一定优势.
A new fingerprint alignment algorithm is presented in this paper. A multi-resolution method for singular point localization in fingerprint images is used, which can not only ensure location precision , but also decrease the probability of error and the computational time. By fingerprint orientation field analysis, the direction of the core is computed accurately and quickly. According to the location and direction of registration point, the live scanned fingerprint can be aligned with the fingerprints in the database. Compared with the common point-pattern alignment algorithm, the complexity of proposed algorithm is lower . Experimental result shows that the alignment using the proposed algorithm can get high precision and efficiency , which is practicable and advantageous to fingerprint matching.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第2期203-207,共5页
Pattern Recognition and Artificial Intelligence
关键词
指纹识别
指纹校准算法
奇异点
指纹匹配
Fingerprint Recognition, Fingerprint Alignment Algorithm, Singular Point, Fingerprint Matching
