基于均衡离散曲率波变换的手背静脉识别

摘要

针对滤波器尺度和方向的增加对识别速度影响较大的问题,提出了基于均衡离散曲率波变换(UDCT)的手背静脉识别方法.在进行手背静脉图像感兴趣区域提取和预处理的前提下,引用了均衡离散曲率波变换对感兴趣区域进行去滤波变换,然后对变换系数进行相位编码,计算编码统计直方图的卡方距离来进行静脉识别.实验结果表明,该方法在低质量的手背静脉图像情况下依然能得到较好的识别效果和较快的识别速度.%Palm-dorsal vein recognition using Uniform Discrete Curvelet Transform (UDCT) was proposed in this paper. With the palm-dorsal Region Of Interest ( ROI) extraction and image preprocessing, UDCT of the curvelet Transform was used on ROI. Then, the curvelet coefficients phase variance was encoded. Finally, the Chi-square distance of histogram of the coding was used for vein recognition. The experimental results show that this proposed method can identify palm-dorsal vein images with high robustness and high speed even with poor-quality images.