手指静脉图像感兴趣区域快速提取方法研究

Research on fast extraction method of region of interest in finger vein images

手指静脉识别技术由于其非接触、高防伪性以及活体检测等优点,成为研究与应用的热点。针对传统手指静脉图像感兴趣区域提取方法过程复杂、运算量大的问题,提出一种感兴趣区域快速提取的方法。该方法采用三点对比法定位手指上下边界以及基于相似三角形定理的图像校正方法。与传统的方法相比,省去了边缘优化的复杂过程以及减少了旋转校正的乘法运算量,能将指静脉图像感兴趣区域提取的速度提高2~3倍。利用指静脉图像库进行仿真实验,结果表明,本算法提取ROI的正确率为100%,识别的等错误率仅为2.45%,说明该方法具有较高的普适性和稳定性,能广泛应用在指静脉识别系统中。

Finger vein recognition technology has become a research and application hotspot due to its advantages of non-contact,high security and living body detection.In view of the complexity and large amount of computation of the traditional methods for extracting the region of interest(ROI)of finger vein images,a fast ROI extraction method was proposed.The method used a three-point comparison method to locate the upper and lower boundaries of the finger and an image correction method based on the similar triangle theorem.Compared with the traditional methods,the complex process of edge optimization was eliminated and the multiplication of rotation correction was reduced,and the speed of extracting the ROI of the finger vein images can be increased by 2~3 times.The finger vein image database was used for the simulation experiments,the results showed that the accuracy of this algorithm for extracting ROI was 100%,and the recognition equal error rate was only 2.45%,which indicated that this method has high universality and stability and can be widely used in finger vein recognition.