CAJ | 학술논문

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.
재지문도상진행채집적과정중,유우채집자본신혹채집설비등각충원인회조성대량적잔결지문도상.이저사잔결지문도상정시영향지문식별정학솔적관건인소.재차대잔결지문주료대량적연구,제출료이차거위특정점적방법,병이용자괄응유전산법설계료일충기우지문미특정신식적필배방법.재대잔결지문가신특정점진행인공지능적필배,착안우잔결지문적전국특정진행필배,제승료필배적정도여속도.
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.