%0 Journal Article
%T A Method for Singularity Detection in Fingerprint Images<br>一种指纹图像奇异点检测的方法
%A TAN Tai-Zhe
%A NING Xin-Bao
%A YIN Yi-Long
%A ZHAN Xiao-Si
%A CHEN Yun
%A <br>谭台哲
%A 宁新宝
%A 尹义龙
%A 詹小四
%A 陈蕴
%J 软件学报
%D 2003
%I 
%X It is very important to detect singularities (core and delta) accurately and reliably for classification and matching of fingerprints. In this paper, a method for singularity detection in fingerprint images is presented to improve accuracy of the position and reliability of the singularity. Firstly, the singularities are detected based on block images through shifting position of the whole image time after time at the same block size and the concentrative region of singularities detected under different positions is got and the centroid of the region is computed to gain the accurate position of singularities. Then, the reliability of singularities detected above is determined with multilevel block sizes. In this method, the characteristics of the relative concentration of the position of singularities detected through image shift and of the corresponding relationship of the singularities detected with multilevel block sizes are used and the singularities are detected accurately and reliably. Experimental results show that the method performs well and it is robust to poor quality images.
%K fingerprint
%K singularity
%K dividing into blocks with image shift
%K multilevel block size<br>指纹
%K 奇异点
%K 图像错位分块
%K 多级分块尺寸
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=5D288181BF273997&yid=D43C4A19B2EE3C0A&vid=F3583C8E78166B9E&iid=B31275AF3241DB2D&sid=FA63B973BAB5E93D&eid=61EDB4BBA42E40FF&journal_id=1000-9825&journal_name=软件学报&referenced_num=15&reference_num=16