基于细节结构特征点的指纹识别  

Fingerprint Identification Based on Minutiae Structural Features Points

作　　者：胡勇[1] 吴斯 HU Yong;WU Si(Jinling Institute of Technology, Nanjing 211169, China)

机构地区：[1]金陵科技学院软件工程学院,江苏南京211169

出　　处：《金陵科技学院学报》2020年第4期6-10,共5页Journal of Jinling Institute of Technology

摘　　要：在众多生物识别技术中,指纹识别因其唯一性、稳定性以及易采集性等特点而成为一种理想的身份认证技术。基于结构特征的指纹识别技术具有识别能力高和抗干扰能力强的优点,并且具有很高的识别率。提出了一种基于细节结构特征点的指纹识别算法,在对指纹图像进行预处理之后,采用模板提取端点及分叉点等细节结构特征点,通过去除伪特征点提高了系统的识别精度。在国际指纹验证竞赛FVC2000数据库上的实验结果证明了该算法的有效性和鲁棒性。Among lots of biometric technologies,fingerprint identification has become an ideal identity authentication technology because of its uniqueness,stability and easy collection.The fingerprint identification technology based on structural features points has the advantages of high efficiency,anti-interference,and a high recognition rate.In this paper,a fingerprint identification algorithm based on minutiae structural features points is proposed.After image preprocessing,the minutiae structural features points such as endpoint and bifurcation points are extracted by local template,and the recognition accuracy of the system is improved by removing the pseudo feature points.The experimental results on the international fingerprint verification competition FVC2000 database show that the algorithm is efficient and effective.

关 键 词：指纹识别 结构特征 细节特征 模板匹配 国际指纹验证竞赛数据库 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]