| 基于"主中心点"脊线跟踪的指纹分类算法 |
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| 引用本文： | 陈锋,覃征,张永良. 基于"主中心点"脊线跟踪的指纹分类算法[J]. 计算机工程与设计, 2007, 28(8): 1752-1756 |
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| 作者姓名： | 陈锋 覃征 张永良 |
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| 作者单位： | 清华大学,软件学院,北京,100017;上海交通大学,图像处理与模式识别研究所,上海,200030 |
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| 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.
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| 关 键 词： | 方向场置信度 主中心点 脊线跟踪 指纹分类 |
| 文章编号： | 1000-7024（2007）08-1752-05 |
| 修稿时间： | 2006-04-09 |
Novel fingerprint classification algorithm based on ridges tracing of "stronger core point" |
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| CHEN Feng,QIN Zheng,ZHANG Yong-liang. Novel fingerprint classification algorithm based on ridges tracing of "stronger core point"[J]. Computer Engineering and Design, 2007, 28(8): 1752-1756 |
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| Authors: | CHEN Feng QIN Zheng ZHANG Yong-liang |
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| Affiliation: | 1. College ofSoitware, TsinghuaUniversity, Beijing 100084, China; 2. Insititute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | 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. |
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| Keywords: | certainty level of directional fields stronger core point ridges tracing fingerprint classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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