摘要
本文主要对自动指纹识别系统(AFIS,Automated Fingerprint Identification Systems)中针对形变指纹的区域三角形特征匹配算法进行研究,通过引入脊线信息及改进的模糊匹配算法提高匹配性能,以使其能够应用于车载指纹识别系统等资源受限环境。在区域三角形特征提取阶段,引入脊线信息并将其与模糊匹配相结合,加快匹配速度。同时,采用三角形相似度修正算法对匹配结果进行处理,提高匹配精度。测试结果表明,新算法能够有效改善形变指纹的匹配性能,且很好适应资源受限等复杂应用环境。
This paper focus on the processing of distorted fingerprint in the AFIS, improve the matching performance by introducing the ridge message and the improved fuzzy matching algorithm, so it can be used in the resource limited enviroment. In the stage of feature set extracting, the combination of ridge and fuzzy matching improve the matching performance. At the same time, the introduction of similarity correcting algorithm can highly improve the matching precision. The experimental result shows that the new algorithm can highly improve the system’s performance especially the speed in the resource limited environment.
出处
《微计算机信息》
2010年第26期179-181,共3页
Control & Automation
关键词
指纹匹配
形变指纹
脊线信息
特征集
fingerprint match
distorted fingerprint
ridge message
feature set
