%0 Journal Article
%T Fingerprint singular points detection based on both weighted averaging gradient directional field and improved Poincare Index<br>基于加权平均梯度方向场和改进Poincare Index的指纹奇异点检测算法
%A FU Jia
%A PAN Wei
%A HAO Chong-yang
%A <br>付佳
%A 潘伟
%A 郝重阳
%J 计算机应用
%D 2007
%I 
%X Because the fingerprint is characterized by the local parallel, gradual change and high correlation of neighborhoods, a gradient based weighted averaging algorithm was proposed. The conventional poincare index algorithm for detecting the singular points of fingerprint was improved. The experimental results suggest that the improved poincare index algorithm on the weighted averaging gradient directional field can accurately detect the singular points of fingerprint.
%K fingerprint
%K singular point
%K weighted averaging gradient directional field
%K Poincare Index<br>指纹
%K 奇异点
%K 加权平均梯度方向场
%K Poincare
%K Index
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=5B2367638348EC50&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=418AA57822E6D476&eid=91907174EE146596&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8