Journal
2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021)
Volume -, Issue -, Pages 124-125Publisher
IEEE
DOI: 10.1109/LIFETECH52111.2021.9391879
Keywords
signature verification; dynamic time warping (DTW); locally and globally weighted DTW (LG-DTW); Euclidean barycenter-based DTW barycenter averaging (EB-DBA)
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Funding
- JSPS KAKENHI [JP 20H01154]
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This study proposes a novel online signature verification method using locally and globally weighted dynamic time warping (LG-DTW) to improve verification performance. The method utilizes Euclidean barycenter-based DTW barycenter averaging in the enrollment phase to obtain a mean template set and employs local and global weighting estimates to handle intra-user and inter-user variability. Experimental results confirm the effectiveness of the proposed method.
This study proposes a novel online signature verification using locally and globally weighted dynamic time warping (LG-DTW) to improve the verification performance. In the enrollment phase, we obtain a mean template set among references using Euclidean barycenter-based DTW barycenter averaging. We acquire a local weighting estimate obtained by analyzing direct matching points between the mean template and reference sets for intra-user variability. We compute a global weighting estimate using gradient boosting for inter-user variability. Finally, in the verification phase, we apply the local and global weighting estimates to acquire a discriminative LG-DTW between a query sample and the mean template set. Experimental results obtained on the public SVC2004 Task2 dataset confirmed the effectiveness of the proposed method.
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