Direct gray-scale extraction of topographic features for vein recognition  

作　　者：KANG WenXiong LI HuaSong DENG FeiQi 

机构地区：[1]College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China [2]School of Information Engineering, Wuyi University, Jiangmen 529000, China

出　　处：《Science China(Information Sciences)》2010年第10期2062-2074,共13页中国科学（信息科学）（英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant No. 60874114);the Scienceand Technology Planning Project of Guangdong Province (Grant No. 2009B030803032);the Fundamental Research Funds for the Central Universities, SCUT (Grant No. 2009ZM0070)

摘　　要：Binarization processing is a key step in most vein pattern recognition, but may create flaws such as leakage of some feature information. In order to overcome this problem, a new approach is explored in this paper which can extract topographic features directly from gray-scale vein images without binarization processing. First, an extreme graph of directional fields （EGDF） is calculated according to neighborhood information of every pixel, and then the intravenous main ridge of the image can be separated step by step from EGDF with the defined constraint template sets. After that, the sub-ridge is extracted from end points of the main ridge in range constraint image with the tracing method of maximal neighboring point. According to contrast experiment the proposed method is better than the traditional processing （performing binarization first and then skeletonization）, in that it can overcome the problem that some separate vein lines are extracted incorrectly, and it can avoid extracting two neighboring vein lines as one ridge. As such, the proposed method is an effective way to extract topographic features for vein recognitionBinarization processing is a key step in most vein pattern recognition, but may create flaws such as leakage of some feature information. In order to overcome this problem, a new approach is explored in this paper which can extract topographic features directly from gray-scale vein images without binarization processing. First, an extreme graph of directional fields （EGDF） is calculated according to neighborhood information of every pixel, and then the intravenous main ridge of the image can be separated step by step from EGDF with the defined constraint template sets. After that, the sub-ridge is extracted from end points of the main ridge in range constraint image with the tracing method of maximal neighboring point. According to contrast experiment the proposed method is better than the traditional processing （performing binarization first and then skeletonization）, in that it can overcome the problem that some separate vein lines are extracted incorrectly, and it can avoid extracting two neighboring vein lines as one ridge. As such, the proposed method is an effective way to extract topographic features for vein recognition

关 键 词：vein recognition feature extraction directional fields 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U412.241[自动化与计算机技术—计算机科学与技术]