基于均衡离散曲率变换的手背静脉识别.docVIP

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。 关键词:手背静脉识别；特征提取和匹配；曲率波相位特征编码；局部异或算子；卡方距离 palm.dorsal vein recognition based on uniform discrete curvelet transformation  wei shang.qing, gu xiao.dong*  shool of information science and technology, fudan university, shanghai 200433， china abstract: 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, using the chi-square distance of histogram of the coding for vein recognition obtained the recognition results. experimental results show that this proposed method can identify palm-dorsal vein images with high robustness and high speed even by using poor-quality images. 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.key words: palm.dorsal vein recognition; feature extraction and verification; curvelet phase encoding; local xor pattern (lxp); chi.square distance  0 引言 静脉识别是近年来一种新兴的红外生物识别技术，它不但识别率和安全性较高、采集过程友好，而且使用和实现更加容易，因此从dna、人脸、耳廓、视网膜、虹膜、语音、手型、掌纹、指纹、签名、步态等众多生物特征识别技术中脱颖而出，具有相当大的实用价值和市场潜力。 一般情况下，每个人的皮下静脉血管分布情况是不一样的，而且在一定时期内，该分布情况都保持稳定。又