摘要
滤波特征匹配和不变矩匹配是常用的指纹识别算法,是将两种识别算法以一定的权值进行结合而提出的一种混合识别算法。通过采用来自不同手指采集的多幅指纹图像作为样本集并两两匹配,得到相应的滤波特征和不变矩匹配分数样本。而算法中权值的确定可以转换成一个匹配分数样本的分类器设计问题,用这些样本对权值进行分类学习估计。以100对指纹图像对混合识别算法进行测试,结果证明该算法具有较好的识别效果。
Filter-based matching and invariant-moment matching are 2 common-used algorithms wich are used fingerprint. By combining the two kinds of recogailion algorithms with certain weights, this paper proposes a hybrid algorithm to improve the efficiency of the identification algorithm. Several fingerprints image from different fingers as the sample, matching them with each other so as to obtain the corresponding matching fraction samples of filtering feature and invariant-moments. Then they can make an estimate on the weight factors through the sorter designed with those matching fraction samples. The test result on the algorithm with 100 fingerprints has indicated the efficiency in fingerprint identification.
出处
《桂林电子科技大学学报》
2010年第1期63-65,共3页
Journal of Guilin University of Electronic Technology
关键词
指纹识别
GABOR滤波
不变矩
fingerprint identification
gabor filters
invariant-moment
