Palmprint Principal Lines Detecting Based on Maximum Response Filter
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.
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.
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