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	基于“主中心点”脊线跟踪的指纹分类算法
	陈锋 ; 覃征 ; 张永良 ; CHEN Feng ; QIN Zheng ; ZHANG Yong-liang
	2010-06-09 ; 2010-06-09
关键词	方向场置信度 主中心点 脊线跟踪 指纹分类 certainty level of directional fields stronger core point ridges tracing fingerprint classification TP391.41
其他题名	Novel fingerprint classification algorithm based on ridges tracing of "stronger core point"
中文摘要	通过分析分割算法,结合区域跟踪算法和腐蚀膨胀算法,对基于方向场置信度的分割算法进行了改进;然后,结合一阶对称复数滤波,验证基于传统Poincarê指数法所提取得到奇异点的准确性;在此基础上提出了一种基于“主中心点”脊线跟踪的指纹分类方法,该方法根据“主中心点”附近的脊线信息以及奇异点的数目和相关位置来确定指纹纹型。; In this work,a novel fingerprint classification algorithm is developed,which is based on the ridges tracing of "stronger core point"(SCP).This algorithm has many improvements compared to those traditional classificaton methods.First,better performance of an improved fingerprint segmentation algorithm is achieved by using the certainty level of directional fields and region tracing and mor-phological image processing with respect to the related method proposed in Ref.[9].Then,a combined singular points detection algorithm is presented which uses one order symmetry complex filtering to proof the validity of the singular points detected by the poincare index.Finally,the type of fingerprint is distinguished according to the ridges' information around the SCP,the number and location of singular points.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/56635]
专题	清华大学
推荐引用方式 GB/T 7714	陈锋,覃征,张永良,等. 基于“主中心点”脊线跟踪的指纹分类算法[J],2010, 2010.
APA	陈锋,覃征,张永良,CHEN Feng,QIN Zheng,&ZHANG Yong-liang.(2010).基于“主中心点”脊线跟踪的指纹分类算法..
MLA	陈锋,et al."基于“主中心点”脊线跟踪的指纹分类算法".(2010).

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