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• W2917066207 abstract "In keeping with recent advances of artificial intelligence and relevant technical developments, online signature verification demands lower calculation cost and higher security, and, systems that meet these criteria without deteriorating performance are needed. In response to the described need, this study proposes a novel, single-template strategy for a function-based approach to online signature verification. Specifically, to obtain an effective single template while preserving intra-user variability between all reference samples, we adopt dynamic time warping (DTW) barycenter averaging. Then, by using the mean template, we calculate both DTW from univariate time series and DTW from multivariate time series. After that, to boost the discriminative power, we apply a weighting scheme using random forests to efficiently combine the two types of DTW. The experimental results confirm the effectiveness of the proposed method for online signature verification using the popular SVC2004 Task2 dataset." @default.
• W2917066207 created "2019-03-02" @default.
• W2917066207 creator A5015942282 @default.
• W2917066207 date "2018-12-01" @default.
• W2917066207 modified "2023-09-24" @default.
• W2917066207 title "A Single-Template Strategy Using Multi-Distance Measures and Weighting for Signature Verification" @default.
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• W2917066207 doi "https://doi.org/10.1109/isspit.2018.8642687" @default.
• W2917066207 hasPublicationYear "2018" @default.
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