基于人体手指静脉特征提取算法的研究

Study on the Finger Vein Feature Extraction Algorithm

根据人体手指静脉图像的特点,提出了一种基于降维思想的手指静脉特征提取方法,即搜索二维灰度图像中的静脉在一维灰度曲线上形成的谷形区域来实现静脉特征的提取。为了对手指静脉特征的充分提取,在进行特征提取前,采用了高频强调滤波对图像进行增强处理。实验结果表明:该方法思想独特、简单易行,对手指静脉的特征提取达到满意的效果。

According to the features of human finger vein image, a finger vein feature extraction method based on dimensionality reduction idea is put forward. In this method, the vein feature extraction is carried out through searching for valley shape region that is formed by the vein of two dimension gray image on one dimension gray curve. In order to finish sufficient extraction of the finger vein feature, the image is enhanced by high frequency emphasis filter before feature extraction. The experiment results show that this method has particular idea. It is simple and easy to realize. The effect of finger vein feature extraction is satisfied.