计算机应用研究2009，Vol.26Issue(8)：3182-3185,4.DOI:10.3969/j.issn.1001-3695.2009.08.114
基于细化图像宏观弧线特征的指纹分类算法
Fingerprint classification method based on macro arc feature of thinning image
摘要
Abstract
This paper provided a new fingerprint classification algorithm based on the thinning image for live fingerprint samples,it for the first time successfully extracted a new parameter suggesting the characteristics and regularity of fingerprint ridges variation by applying the ridge following method,which was defined as macro arc-like eigenvector.The proposed method which using the new eigenvector validated on the FVC2004 database and produced a classification accuracy of 98.9%.Moreover,this classification method also had a good robustness to those fingerprint images of lower quality and eliminated the defect of traditional classification algorithm which depending on the singular point overly.This method has strong application in practice and also some values in popularizing.关键词
指纹/细化/弧线特征/指纹分类Key words
fingerprint/thinning/arc feature/fingerprint classification分类
信息技术与安全科学引用本文复制引用
刘花香,王玲..基于细化图像宏观弧线特征的指纹分类算法[J].计算机应用研究,2009,26(8):3182-3185,4.基金项目
湖南省教育厅科研资助项目(06C522) （06C522）
