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基于自适应遗传算法的残缺指纹识别; Fragmentary fingerprint matching based on adaptive generic algorithm
郑智强 ; 郑建德 ; 高媛
2013-05-15
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 fragmentary fingerprint matching variable boundary box adaptive generic algorithm diplex pseudo-discarded characteristic point
英文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 fingerprint itself or acquisition equipment.The fragmentary fingerprint image is an important factor that affects the fingerprint recognition 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 genetic algorithm to match the trustworthy characteristic points of fragmentary fingerprints by artificial intelligence method.This method improved the matching accuracy and velocity.; 福建高校产学合作科技重大项目(0630-k42047)
语种zh_CN
内容类型期刊论文
源URL[http://dspace.xmu.edu.cn/handle/2288/123055]  
专题信息技术-已发表论文
推荐引用方式
GB/T 7714
郑智强,郑建德,高媛. 基于自适应遗传算法的残缺指纹识别, Fragmentary fingerprint matching based on adaptive generic algorithm[J],2013.
APA 郑智强,郑建德,&高媛.(2013).基于自适应遗传算法的残缺指纹识别..
MLA 郑智强,et al."基于自适应遗传算法的残缺指纹识别".(2013).
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