自动指纹识别中的图像增强和细节匹配算法  

Image Enhancement and Minutia Matching Algorithms in Automated Fingerprint Identification System

作　　者：罗希平[1] 田捷[1] 

机构地区：[1]中国科学院自动化研究所人工智能实验室,北京100080

出　　处：《软件学报》2002年第5期946-956,共11页Journal of Software

基　　金：国家自然科学基金资助项目(69875019;60071002;60072007;69931010;60172057)~~

摘　　要：对自动指纹识别系统(automated fingerprint identification system,简称AFIS)的两个重要问题——指纹图像增强和细节匹配进行研究,给出了一种基于方向场的指纹图像增强算法,对Anil Jain等人提出的细节匹配算法进行了修正.采用一种新的更简单的方法进行指纹图像的校准,并以一种简单而有效的方式将脊线信息引入匹配过程中,这样做的好处之一是以较低的计算代价有效地解决了匹配中参照点对的选取问题.另外,采用大小可变的限界盒来适应指纹的非线性形变.在FVC2000公布的指纹图像数据库上,按照FVC2000测试标准所做的实验显示,该算法比原算法有较大的改进.This paper focuses on two key problems in automated fingerprint identification system (AFIS): fingerprint image enhancement and minutia matching. A fingerprint image enhancement algorithm is proposed based on orientation field. In addition, a minutia matching algorithm is proposed which modified the algorithm presented by Jain et al. About this algorithm, a simpler alignment method is used. Ridge information is introduced into the minutia matching process in a simple but effective way. One of the advantages of doing so is to solve the problem of reference point pair selection with low computational cost. In addition, the changeable sized boundary box is used to make this algorithm more robust to nonlinear deformation between fingerprint images. Experiments are done on the FVC2000 database with the FVC2000 performance evaluation method and the results show that this improved algorithm is better than the original one.

关 键 词：自动指纹识别 图像增强 细节匹配算法 图像处理 计算机 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] D918.91[自动化与计算机技术—计算机科学与技术]