手指静脉图像感兴趣区域提取方法研究

Study of region of interest extraction from finger-vein images

研究了一种手指静脉感兴趣区域(ROI)的定位与提取方法,以解决手指在采集静脉图像时的随机运动对手指静脉识别结果的影响。通过计算手指轮廓线的主方向和末节关节腔位置对手指摆放位置的随机变化进行校正,并初步定位分割出手指静脉感兴趣区域。运用迭代优化方法实现手指静脉感兴趣区域分割结果的精确提取。在小型数据集上进行实验的结果表明:该方法得到的感兴趣区域具有较好的聚类特性。说明该方法能够有效地从同一手指姿态变化的多幅静脉图像中定位并分割出相似度较高的感兴趣区域。

In order to avoid the impact to the region of interest（ROI） extracted results by random movements of finger when finger-vein images are collected,an approach for locating and extracting the region of interest from finger-vein image was studied.First,the random variations of the finger’s positions were corrected by computing its profile’s primary direction and inter-phalangeal joint’s position,and the ROI was roughly found.Then,an iteration method was applied to obtain the accurate extraction of ROI.The experimental results on a small database showed that the clustering property of ROI extracted better results.This method could extract similar ROIs from finger-vein images of a finger,even if its posture is changed.