%0 Journal Article
%T Effective Method for the Segmentation of Fingerprint Images Based on New Feature<br>一种基于新特征的有效指纹图像分割算法
%A MEI Yuan
%A CAO Guo
%A SUN Huai-jiang
%A SUN Quan-sen
%A XIA De-shen
%A <br>梅园
%A 曹国
%A 孙怀江
%A 孙权森
%A 夏德深
%J 计算机科学
%D 2009
%I 
%X The segmentation of fingerprint images plays a very important role in Automatic Fingerprint Identification System (AFIS).Effective segmentation can not only reduce the time of subsequent processing, but also improve the relia-bility of feature extraction considerably.This paper mainly contains two works: proposed a new segmentation feature for fingerprint images which is called Effective Point Cluster Degree (EPCD) ; proposed an effective method for the segmen-tation of fingerprint images based on the new feature and CluD mentioned in reference1], in this new method, we first segmented fingerprint images with EPCD, and then processed the first segmentation results with iteration-based me-thod,did the second segmentation with CLuD based on the processed results, and finally, morphology was applied as postprocessing to reduce misclassification.All experimental results show that:compared with other commonly used fea-tures, the EPCD holds the characteristics of good discriminability, robustness, and the segmented foreground and back-ground are more concentrated;at the same time, the segmented method based on EPCD and CluD possesses high accura-cy and adaptability.
%K Biometrics
%K AFIS
%K Fingerprint image segmentation
%K Feature extraction
%K Effective point cluster degree<br>生物识别技术
%K 自动指纹识别系统
%K 指纹图像分割
%K 特征提取
%K 有效点聚集度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=04952BDEAD4FEF18AD89A76C52C2B655&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=708DD6B15D2464E8&sid=9F8C5EF901EA1E7E&eid=B4E8EA49DAAEB84F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10