Analysis of Session Variability for Online Signature Verification Using Local Stability-Weighted DTW
Analysis of Session Variability for Online Signature Verification Using Local Stability-Weighted DTW
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DOI：
10.1109/gcce50665.2020.9292068
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发表时间：
2020-10
期刊：
影响因子：
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通讯作者：
Manabu Okawa
中科院分区：
文献类型：
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作者：
Manabu Okawa
在这项研究中，我们进行了详尽的实验分析会话的可变性提取的实际结果有关的模板老化效应的单模板策略在在线签名验证。我们应用新的单模板策略，采用平均模板创建的时间序列平均与基于欧氏重心的动态时间规整（DTW）重心平均和距离测量使用本地稳定加权DTW，以提高性能。实验结果证实了使用公共SUSIG Visual子语料库的在线签名验证方法的一般有效性，即使会话的可变性存在。
In this study, we conduct the exhaustive experimental analysis of session variability to extract practical results related to a template-aging effect for a single-template strategy in online signature verification. We apply the novel single-template strategy that employs mean templates created by time-series averaging with Euclidean barycenter-based dynamic time warping (DTW) barycenter averaging and distance measurement using local stability-weighted DTW to improve the performance. Experimental results confirm the general effectiveness of the method for online signature verification using a public SUSIG Visual sub-corpus even when the session variability exists.