作　　者： ; ; ;

机构地区： 华南理工大学自动化科学与工程学院

出　　处： 《中国科学：信息科学》 2011年第3期324-337,共14页

摘　　要： 二值化处理作为静脉识别中关键步骤不可避免会造成特征信息的部分减损,为了克服这种情况,文中提出一种跳过二值化过程直接对静脉灰度图像进行拓扑特征提取的新方法,该方法首先根据像素的邻域信息计算图像的方向场极值图(EGDF,extreme graph of direc tional fields),并利用预先定义的约束模板集从EGDF中逐步提取出静脉主脊,然后在设定的范围约束图中,利用最大邻域点跟踪算法从静脉主脊的各个端点开始搜索从而获得静脉次脊,最后由静脉主脊和静脉次脊组成了静脉灰度图像的全部拓扑特征.通过对比实验,发现文中算法提取的静脉拓扑特征优于常规组合方法即二值化后再进行骨架提取得到的静脉拓扑特征,且克服了基于新小波函数的对称分析法中无法提取漂浮静脉纹路以及将两条相距较近的纹路误识为一条纹路的问题.因此,是一种有效的静脉灰度图像拓扑特征提取方法. 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 recognition.

关 键 词： 静脉识别 特征提取 方向场

领　　域： [自动化与计算机技术] [自动化与计算机技术]