基于自适应遗传算法的残缺指纹识别  

Fragmentary fingerprint matching based on adaptive generic algorithm

作　　者：郑智强[1] 郑建德[1] 高媛[1] 

机构地区：[1]厦门大学信息科学与技术学院,福建厦门361000

出　　处：《现代电子技术》2013年第10期83-86,共4页Modern Electronics Technique

基　　金：福建高校产学合作科技重大项目(0630-k42047)

摘　　要：在指纹图像进行采集的过程中,由于采集者本身或采集设备等各种原因会造成大量的残缺指纹图像。而这些残缺指纹图像正是影响指纹识别正确率的关键因素。在此对残缺指纹做了大量的研究,提出了二次去伪特征点的方法,并利用自适应遗传算法设计了一种基于指纹微特征信息的匹配方法。在对残缺指纹可信特征点进行人工智能的匹配,着眼于残缺指纹的全局特征进行匹配,提升了匹配的精度与速度。In the acquisition process of fingerprint images, a lot of incomplete fingerprint images may occur due to the fin- gerprint itself or acquisition equipment. The fragmentary fingerprint image is an important factor that affects the fingerprint recog- nition correctness rate. Based on enough research on fragmentary fingerprints, a diplex pseudo-discarded characteristic point method is put forward, and a matching method based on the fingerprint feature information is designed by using the adaptive ge- netic algorithm to match the trustworthy characteristic points of fragmentary fingerprints by artificial intelligence method. This method improved the matching accuracy and velocity.

关 键 词：残缺指纹识别 可变界限盒 自适应遗传算法 二次去伪特征点 

分 类 号：TN964.34[电子电信—信号与信息处理]