改进Contourlet变换的3D掌纹图像识别-计算机工程与应用.PDF

Computer Engineering and Applications 计算机工程与应用 2016 ，52（8） 169 改进Contourlet 变换的3D 掌纹图像识别 郑 英，符冉迪，金 炜，周 颖 ZHENG Ying, FU Randi, JIN Wei, ZHOU Ying 宁波大学 信息科学与工程学院，浙江 宁波 315211 Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang 315211, China ZHENG Ying, FU Randi, JIN Wei, et al. Improved Contourlet transform for 3D palmprint image recognition. Computer Engineering and Applications, 2016, 52 （8 ）：169-173. Abstract ：3D palmprint recognition method is proposed based on improved Contourlet transform. Through the shape index, the method maps 3D palmprint image into gray image to overcome the shortcomings of conventional mean or Gaussian curvature mapping that the characteristics of 3D palmprint image are difficult to accurately describe. Based on this, it intro- duces 7/5 filter to Contourlet transform, and extracts the mean and variance of each directional subband from the shape index map in the transform domain as feature information of palmprint image, which effectively utilizes superior direction feature expression ability of the Contourlet transform and eliminates the correlation included in each subband image of traditional Contourlet transform. Finally, the paper uses Euclidean distance nearest neighbor classification method to realize the classification and recognition of the test images. The experimental results show that, according to the three-dimensional palmprint database of the Hong Kong Polytechnic University, the overall recognition rate of the proposed method improves by 2.9% than the PCA method and has obvious advantage. Key words ：palmprint recognition; shape index; Contourlet 摘 要：提出一种基于改进Contourlet 变换的3D 掌纹图像识别方法；该方法通过形状指数将3D 掌纹图像映射成灰 度图像，以克服常用的均值或高斯曲率映射难于精确描述3D 掌纹特征的缺点；基于此，将7/5 滤波器引入Contourlet 变换，并在变换域提取形状指数映射图各方向子带的均值与方差作为掌纹图像的特征信息，从而有效利用了Con- tourlet 变换优越的方向特征表达能力，又可有效消除传统Contourlet 变换各子图像存在的相关性；最后采用欧氏距离 最近邻分类法，实现了测试图像