Signature alignment based on GMM for on-line signature verification

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• 作者：Xinghua Xia ; ^{xxh8787@sjzu.edu.cn}Author Vitae ; Zhili Chen ^{zzc@sjzu.edu.cn}Author Vitae ; Fangjun LuanAuthor Vitae ; Xiaoyu SongAuthor Vitae
• 关键词：On-line signature verification ; Signature alignment ; Gaussian Mixture Model ; Signature curve constraint ; Dynamic weight factor
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：65
• 期：Complete
• 页码：188-196
• 全文大小：1548 K
• 卷排序：65

文摘

Signatures are aligned well to reference template based on Gaussian Mixture Model before verification. Efficiency of verification is improved by modified dynamic time warping with signature curve constraint. Distance probability is presented to describe the dissimilarity between test signatures and references. A strategy of dynamic weight factors being assigned to features depend on coefficient of variation.