Palm Print Matching Based on Directional and Texture Features

  • M.P. Dale


In this paper, the author propose palm print recognition algorithm of human being based on radon transform. We propose a general framework for Directional and Texture Features. Firstly we use canny edge detection on taken image. Normally palm prints are recognized by changes in ridges, singular points, minutiae and bifurcation etc. For palm print recognition we use radon transform which is little bit different than other techniques. The proposed algorithm gives us good feature vector of palm print images.

Keywords: Radon Transform, Palm print images, Feature vector


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How to Cite
Dale, M. (2018). Palm Print Matching Based on Directional and Texture Features. Asian Journal For Convergence In Technology (Founded by ISB &M School of Technology )), 4(I). journals.v4iI.378