Online Signature Verification Using Single-Template Matching Through Locally and Globally Weighted Dynamic Time Warping
Online Signature Verification Using Single-Template Matching Through Locally and Globally Weighted Dynamic Time Warping
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DOI：
10.1587/transinf.2020edp7099
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发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Manabu Okawa
中科院分区：
文献类型：
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作者：
Manabu Okawa
为了提高在线签名验证fi的性能，本文提出了一种基于平均模板集和局部/全局加权动态时间规整的单模板策略。具体地说，在注册阶段，我们实现了一种时间序列平均方法--基于欧几里得重心的fi重心平均，以获得考虑参考样本之间用户内部差异的平均模板集。然后，我们通过分析均值模板和参考集之间最佳匹配的多个匹配点，得到考虑局部稳定性序列的局部加权估计。然后，我们基于通过梯度提升估计的变量重要性来得到全局加权估计。最后，在验证fi阶段，我们应用局部和全局加权方法来获得平均模板集和查询样本之间的判别LG-DTW距离。在公开的SVC2004Task2和MCYT100型签名数据集上的fi实验结果验证了该在线签名验证方法的ff有效性。
SUMMARY In this paper, we propose a novel single-template strategy based on a mean template set and locally / globally weighted dynamic time warping (LG-DTW) to improve the performance of online signature veri-fication. Specifically, in the enrollment phase, we implement a time series averaging method, Euclidean barycenter-based DTW barycenter averaging, to obtain a mean template set considering intra-user variability among reference samples. Then, we acquire a local weighting estimate considering a local stability sequence that is obtained analyzing multiple matching points of an optimal match between the mean template and reference sets. Thereafter, we derive a global weighting estimate based on the variable importance estimated by gradient boosting. Finally, in the verification phase, we apply both local and global weighting methods to acquire a discriminative LG-DTW distance between the mean template set and a query sample. Experimental results obtained on the public SVC2004 Task2 and MCYT-100 signature datasets confirm the e ff ectiveness of the proposed method for online signature verification.