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Signature alignment based on GMM for on-line signature verification
×÷Õß:Xinghua Xia; Zhili Chen; Fangjun Luan; Xiaoyu Song
Pattern Recognition
¾í: 65   Ò³: 188-96  
DOI: 10.1016/j.patcog.2016.12.019  
³ö°æÄê: May 2017  

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On-line handwritten signatures are collected as real-time dynamical signals, which are written on collective devices by users. Since writing environments are always changed, fluctuations can be caused by signature size, location and rotation angle which being various at each inputting. Signatures should be effectively aligned before verification, which can diminish deviations caused by these fluctuations. In this study, we propose a method of signature alignment based on Gaussian Mixture Model to obtain the best matching. In verification, a modified dynamic time warping with signature curve constraint is presented to improve the efficiency. Weight factors are dynamically assigned to features, which depend on coefficient of variation, to improve the robustness. Several experiments are implemente.d on the open access on-line signature databases MCYT and SVC2004 Task2. The best performances can be provided with equal error rates 2.15% and 2.63%, respectively. Experimental results indicate the effectiveness and robustness of our proposed method. [All rights reserved Elsevier].
×÷ÕßÐÅÏ¢
×÷ÕßµØÖ·: Xinghua Xia; Zhili Chen; Fangjun Luan; Xiaoyu Song; Sch. of Inf. & Control Eng., Shenyang JianZhu Univ., Shenyang, China.
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Elsevier B.V., Netherlands
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Ñо¿·½Ïò:Communication; Mathematics; Computer Science (ÓÉ Thomson Reuters Ìṩ)
¹ú¼ÊרÀû·ÖÀà:G06T Image data processing or generation, in general
·ÖÀà´úÂë:B6135E Image recognition; B0240Z Other topics in statistics; C5260B Computer vision and image processing techniques; C1140Z Other topics in statistics
CODENTNRA8
ÊÜ¿ØË÷Òý:Gaussian processes; handwriting recognition; mixture models
·ÇÊÜ¿ØË÷Òý:signature alignment; GMM; online handwritten signature verification; real-time dynamical signals; Gaussian mixture model; modified dynamic time warping; signature curve constraint; MCYT open access online signature database; SVC2004 Task2 open access online signature database
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ÎÄÏ×ÀàÐÍ:Journal Paper
ÓïÖÖ:English
Èë²ØºÅ:INSPEC:16642024
ISSN:0031-3203
²Î¿¼ÎÄÏ×Êý:53
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Impact Factor (Ó°ÏìÒò×Ó): Journal Citation Reports®
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´¦ÀíÀàÐÍ:Bibliography, Practical, Theoretical or Mathematical
ÎÄÏ׺Å:S0031-3203(16)30436-8
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