关键词: 掌纹识别, 形状指数, Contourlet

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 introduces 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