A Skeleton Extracting Algorithm for Dorsal Hand Vein Pattern

摘要：

Extracting vein skeleton with little distortion from the vein image is very important for improving the identification rate. In the paper, an algorithm for segmenting the dorsal hand vein image and extracting the vein skeleton is presented. Firstly, after gray and size normalizing, Gaussian low pass filter and median filter are used to eliminate the speck noise and the horizontal strip scanning noise respectively. Then, an improved NiBlack algorithm segments the vein pattern and an area thresholding algorithm removes the noise blocks from the vein pattern. Subsequently, opening, closing and median filter are used to smooth the vein boundary. After that, the vein pattern is thinned by Kejun Wangs improved conditional thinning. Lastly, a pruning algorithm is presented to trim the spurs and the vein pattern is skeletonized. Experiment shows the algorithm acquires more real skeleton.

关键词： vein pattern recognition segmentation smoothing skeletonizing

作者: Lin Yang Xiangbin Liu Zhicheng Liu

作者单位: Institute of Image Recognition & Computer Vision Hunan Normal University Changsha, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 92-95

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）