陈刘奎, 郑宏. 利用三值模板模糊匹配进行手指静脉识别[J]. 武汉大学学报 ( 信息科学版), 2011, 36(2): 157-162.
引用本文: 陈刘奎, 郑宏. 利用三值模板模糊匹配进行手指静脉识别[J]. 武汉大学学报 ( 信息科学版), 2011, 36(2): 157-162.
CHEN Liukui, ZHENG Hong. Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 157-162.
Citation: CHEN Liukui, ZHENG Hong. Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 157-162.

利用三值模板模糊匹配进行手指静脉识别

Finger Vein Image Recognition Based on Tri-value Template Fuzzy Matching

  • 摘要: 针对静脉特征图像中静脉边缘和末梢模糊造成匹配困难的问题,提出了一种基于三值模板图像的模糊匹配方法。该方法将提取出的静脉特征图像分割为三值图像,值1代表目标区,0.5代表模糊区,0代表背景区。三值图像用于模板匹配时,计算模板间非0值区域之间的平均距离作为相似分数,分数越低,则模板越相似。该方法匹配能力强,不要求点与点之间的绝对位置匹配,对模糊的静脉边缘和末梢匹配具有较强的鲁棒性。对实验中采集的456张近红外手指静脉图像进行匹配,正确识别率达99.46%,表明本文方法是可行的和有效的。

     

    Abstract: In order to reduce the effect of fuzzy edges and tips of vein feature image in the template matching,we present a tri-value template fuzzy match algorithm,which segments the vein feature image into three areas: subject area,fuzzy area and background area;compute the average distance between the non-background areas as the similarity score between the matching templates.It is robust against the fuzzy edges and tips by increase the distance norm to the fuzzy area.The recognition accuracy rate,99.46%,to 456 near-infrared finger vein images,shows that our proposed method is feasible and practical.

     

/

返回文章
返回