Palmprint Recognition Based on Probability Template and Fuzzy Logic
ZHU Le-Qing1,2, ZHANG San-Yuan1, ZHANG Yin1, YE Xiu-Zi1
1.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027 2.College of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310018
Abstract：A palmprint recognition algorithm is proposed based on principal palm lines. According to the previous knowledge, an irregular geometrical shape is used to get the valid region to decrease the interference of bulky noises. The information about the positions and structures of palm lines and the intensity are included in the final extracted principal lines. Thus, sufficient clues are provided for palmprint recognition. A conception of probability template of principal lines is presented, which suppresses the influence of random noises. Features of several training samples are merged into one template to guarantee the integrity of features and improve the matching efficiency. Fuzzy logic is adopted in the matching algorithm. Experimental results show that the palmprints can be verified and distinguished with high precision by the proposed method.
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2009, Vol. 22 
