%0 Journal Article
%T Improved adaptive threshold algorithm for segmentation of fingerprint images<br>改进的指纹自适应阈值分割算法*
%A ZHANG De-gang
%A DAI Guan-zhong
%A LIU Hang
%A HAO Xing-mao
%A LI Mei-feng
%A <br>张德刚
%A 戴冠中
%A 刘航
%A 郝兴茂
%A 李美峰
%J 计算机应用研究
%D 2008
%I 
%X Based on the traditional adaptive threshold algorithm for segmentation of fingerprint images,this paper proposed an improved segmentation algorithm.According to either local gray-level-statistics of the junction regions between fingerprint and background,or regions with light or conglutinated ridges,the algorithm was capable of eliminating the blocking effect of the foreground image edges at a low computational cost.The experimental result demonstrates that the segmentation algorithm proposed is effective and robust to the pre-process of the fingerprint images.
%K fingerprint
%K threshold
%K image segmentation
%K gray-scale-statistic
%K blocking effect<br>指纹
%K 阈值
%K 图像分割
%K 灰度特性
%K 块效应
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=4A3AD43F126EAF8F749DF1F91D26EE41&yid=67289AFF6305E306&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=7C95AAC7652395EE&eid=76F79DF7CA22520E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15