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《Journal of Jiangxi Normal University(Natural Science Edition)》 2018-03
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The Improved Approach of Palmprint Feature Extraction via Half-Orientation Code

TENG Shaohua;LUO Jiang;FEI Lunke;School of Computer Science and Technology,Guangdong University of Technology;  
Palmprint recognition has became one of the most popular methods for identifying a person in recent years due to its high convenience and ease of use. The classic methods of palmprint identification are generally based on the orientation of the lines ignores the other discriminative orientation features on the ridge lines. This paper proposes an improved half-orientation code method,which changes one of the half-orientation features to another representative half-orientation features and obtain more features of palm lines. Experimental results show that the proposed method can achieve a higher recognition accuracy than the conventional method.
【Fund】: 国家自然科学基金(61402118 61673123 61772141 61702110);; 广东省科技计划(2015B090901016 2016B010108007);; 广东省教育厅(粤教高函2015[133]号 粤教高函2014[97]号);; 广州市科技计划(201604020145 2016201604030034 201508010067 201604046017 201802010042 201802010026)资助项目
【CateGory Index】: TP391.41
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