摘要
通过分析人体手指静脉图像的特点,提出了一种基于灰度谷形区域搜索的手指静脉提取方法,即利用手指静脉图像的灰度剖面曲线呈谷形特征来实现静脉特征的提取。在静脉模式识别中,改进了传统的模板匹配方法,并建立了一个基于PC系统的手指静脉身份认证系统用于测试算法。试验结果表明,该手指静脉提取和匹配算法具有较高的识别率和应用价值。
Through analyzing the characteristics of the human finger vein image, this paper presents a method for extracting finger vein features based on searching the valley-shaped regions, which is extracting the finger vein feature adapt the valley characteristics shown on the gray curve profile. In the vein pattern recognition, the traditional template matching method was improved and a finger vein authentication system based on PC was established to test the algorithm. Experiment results proved that the finger vein extracting and matching algorithm proposed herein had high recognition rate and high application value.
出处
《桂林电子科技大学学报》
2009年第6期483-486,共4页
Journal of Guilin University of Electronic Technology
关键词
手指静脉
模式识别
身份认证
模板匹配
finger vein
pattern recognition
authentication system
template matching
