Wang Jia-Qiang
School of Information Engineering, Hebei University of Technology, 300401, Tianjin, China
Qu Han-Bing
Pattern Recognition Research Center, Beijing Institute of New Technology Applications, Beijing Academic of Science and Technology, Key Labourty of Pattern Recognition, 100094, Beijing, China
Yu Ming
School of Information Engineering, Hebei University of Technology, 300401, Tianjin, China
Xue Gui-Ying
School of International Education, Hebei University of Technology, 300401, Tianjin, China
Jin Wei
Pattern Recognition Research Center, Beijing Institute of New Technology Applications, Beijing Academic of Science and Technology, Key Labourty of Pattern Recognition, 100094, Beijing, China
ABSTRACT
This study presents a novel detection method of palmprint principal lines. After filtering palmprint ROI based on maximum response, 5% maximum magnitude is taken as the searching seeds of the principal lines, then combined with a threshold from standard deviation for region growing. Finally palmprint principal lines are obtained by closing operation and thinning. Experimental results show that this method, only several more steps added on feature extraction, can improve the recognition accuracy and have little impact on real-time performance, which is very important in embedded real-time recognition systems.
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How to cite this article
Wang Jia-Qiang, Qu Han-Bing, Yu Ming, Xue Gui-Ying and Jin Wei, 2013. Palmprint Principal Lines Detecting Based on Maximum Response Filter. Information Technology Journal, 12: 6893-6896.
DOI: 10.3923/itj.2013.6893.6896
URL: https://scialert.net/abstract/?doi=itj.2013.6893.6896
DOI: 10.3923/itj.2013.6893.6896
URL: https://scialert.net/abstract/?doi=itj.2013.6893.6896
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