Palm Print Matching Based on Directional and Texture Features
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.
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 Wei Jial, Rong-Xiang Hu 1, 2, Yang Zhao 1, 2, Jie Gui 1 and Yi-Hai Zhu 1, 2 1 Hefei Institute of Intelligent Machines, CAS, Hefei, China, 2 Department of Automation, University of Science and Technology of China firstname.lastname@example.org
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 Wei Jia, Bob Zhang, Jingting Lu, Yihai Zhu, Yang Zhao, Wangmeng Zuo, and Haibin Ling, “Palm Print Recognition Based on Complete Direction Representation” DOI 10. 1109/TIP. 2017. 2705424, IEEE Transaction on Image Processing.
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