%0 Journal Article
%T Image Enhancement and Minutia Matching Algorithms in Automated Fingerprint Identification System<br>自动指纹识别中的图像增强和细节匹配算法
%A LUO Xi-ping
%A TIAN Jie
%A <br>罗希平
%A 田捷
%J 软件学报
%D 2002
%I 
%X This paper focuses on two key problems in automated fingerprint identification system (AFIS): fingerprint image enhancement and minutia matching. A fingerprint image enhancement algorithm is proposed based on orientation field. In addition, a minutia matching algorithm is proposed which modified the algorithm presented by Jain et al. About this algorithm, a simpler alignment method is used. Ridge information is introduced into the minutia matching process in a simple but effective way. One of the advantages of doing so is to solve the problem of refence point pair selection with low computationl cost.Iakkition,the changeable sized boundary box is used to make this algorithm mote robust ti nonlinear deformation between fingerprint images.Experiments are done on the FVC2000 databases with the FVC2000 performance evaluation method and the results show that this improved algorithm is better than the originalone.
%K automated fingerprint identification system (AFIS)
%K image enhancement
%K minutia matching
%K Received April 6
%K 2001
%K accepted July 6
%K 2001 Supported by the National Natural Science Founda<br>自动指纹识别系统(AFIS)
%K 图像增强
%K 细节匹配
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=F716D2A286F59967&yid=C3ACC247184A22C1&vid=FC0714F8D2EB605D&iid=94C357A881DFC066&sid=7C8C2BAFC9BA0571&eid=7A7A8B1000B9FF84&journal_id=1000-9825&journal_name=软件学报&referenced_num=149&reference_num=11