J4 ›› 2009, Vol. 47 ›› Issue (05): 1006-1012.
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CHENG Kaidong, DONG Xianfeng, MA Siliang
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A method is presented to create a polar coordinate system based on the mass center of whole signature and the mass center of golden section under which the extrema can be extracted from polar angle feature as signature segmentationpoint sequence. This article proposes an improved DTW algorithm for online handwritten signature verification that is applied to the segments matching between the signature sample and the template automatically, obtaining the highest qualified corresponding relationship of the segments and the most closely similarity measurement result, which can degrade the FRR level efficiently. The algorithm has been tested via the signature data from the handwritten signature database JLUDHSDB2.0 and the experiment results show that the EER is 4.25 percent.
Key words: online handwritten signature verification, dynamic time warping (DTW), pattern recognition, handwritten signature database
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CHENG Kai-Dong, DONG Jian-Feng, MA Si-Liang. Dynamic Signature Verification AlgorithmBased on Polar Angle Matching[J].J4, 2009, 47(05): 1006-1012.
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http://xuebao.jlu.edu.cn/lxb/EN/Y2009/V47/I05/1006
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