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Xinghua xia, Signature alignment based on GMM for on-line signature verification, PATTERN RECOGNITION, vol.65, 188-196. DOI:10.1016/j.patcog.2016.12.019, 2017.5
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Signature alignment based on GMM for on-line signature verification
作者:Xinghua Xia; Zhili Chen; Fangjun Luan; Xiaoyu Song
Pattern Recognition
卷: 65 页: 188-96
DOI: 10.1016/j.patcog.2016.12.019
出版年: May 2017
摘要
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].
作者信息
作者地址: Xinghua Xia; Zhili Chen; Fangjun Luan; Xiaoyu Song; Sch. of Inf. & Control Eng., Shenyang JianZhu Univ., Shenyang, China.
出版商
Elsevier B.V., Netherlands
类别 / 分类
研究方向:Communication; Mathematics; Computer Science (由 Thomson Reuters 提供)
国际专利分类:G06T Image data processing or generation, in general
分类代码:B6135E Image recognition; B0240Z Other topics in statistics; C5260B Computer vision and image processing techniques; C1140Z Other topics in statistics
CODENTNRA8
受控索引:Gaussian processes; handwriting recognition; mixture models
非受控索引: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
文献信息
文献类型:Journal Paper
语种:English
入藏号:INSPEC:16642024
ISSN:0031-3203
参考文献数:53
期刊信息
Impact Factor (影响因子): Journal Citation Reports®
其他信息
处理类型:Bibliography, Practical, Theoretical or Mathematical
文献号:S0031-3203(16)30436-8，
目前PATTERN RECOGNITION最新檢索資�?只到Volume: 64, APR 2017.
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