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基于SUSAN的指纹细节点提取算法
引用本文:文潇,华骅,徐安士.基于SUSAN的指纹细节点提取算法[J].四川大学学报(自然科学版),2005,42(5):952-956.
作者姓名:文潇  华骅  徐安士
作者单位:1. 北京大学区域光通信网与新型光通信系统国家重点实验室,北京,100871
2. 四川大学电子信息学院,成都,610064
基金项目:国家自然科学基金(60272023);教育部基金(90104003)
摘    要:在整个指纹识别过程中,指纹图像的细节点提取至关重要.许多算法是先将脊线细化后进行提取,耗时较多,且易产生大量不易去除的伪细节点.作者将一般图象配准中常用的角点检测技术运用到指纹识别中,提出基于SUSAN的指纹细节点提取新算法.该法在传统的SUSAN上进行数项改进,使其适用于指纹图象,完成端点和分叉点的提取,再根据所产生伪细节点的分布情况将它们去除.此法计算简单、抗噪声能力强、不需事先对脊线进行细化.

关 键 词:端点  分叉点  角点检测  SUSAN  伪细节点
文章编号:0490-6756(2005)05-0952-05
收稿时间:2004-10-25
修稿时间:2004-10-25

An Algorithm for Extraction of Fingerprint Minutiae Based on SUSAN
WEN Xiao,HUA Hua,XU An-shi.An Algorithm for Extraction of Fingerprint Minutiae Based on SUSAN[J].Journal of Sichuan University (Natural Science Edition),2005,42(5):952-956.
Authors:WEN Xiao  HUA Hua  XU An-shi
Abstract:Minutiae extraction plays an important role in fingerprint identification. Most of the algorithms require the ridges being thinning first, which is time consuming and would produce a lot of fake minutiae. A new algorithm based on SUSAN in corner detection is proposed for fingerprint identification. It makes several ameliorations on traditional SUSAN to serve the fingerprint turn, uses the algorithm to extract both of the endings and bifurcations, and reduce the number of fake minutiae according to their distribution. This algorithm is simple, noise- resisting, and ridge thinning free.
Keywords:ending  bifurcation  corner detection  SUSAN  fake minutiae
本文献已被 CNKI 维普 万方数据 等数据库收录!
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