Online Signature Verification Using Single-Template Matching Through Locally and Globally Weighted Dynamic Time Warping
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 verification. 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 effectiveness of the proposed method for online signature verification.
- Publication
- IEICE TRANSACTIONS on Information Vol.E103-D No.12 pp.2701-2708
- Publication Date
- 2020/12/01
- Publicized
- 2020/09/01
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020EDP7099
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Manabu OKAWA
Metropolitan Police Department
Keyword
Latest Issue
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Manabu OKAWA, "Online Signature Verification Using Single-Template Matching Through Locally and Globally Weighted Dynamic Time Warping" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 12, pp. 2701-2708, December 2020, doi: 10.1587/transinf.2020EDP7099.
Abstract: 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 verification. 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 effectiveness of the proposed method for online signature verification.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7099/_p
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@ARTICLE{e103-d_12_2701,
author={Manabu OKAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Online Signature Verification Using Single-Template Matching Through Locally and Globally Weighted Dynamic Time Warping},
year={2020},
volume={E103-D},
number={12},
pages={2701-2708},
abstract={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 verification. 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 effectiveness of the proposed method for online signature verification.},
keywords={},
doi={10.1587/transinf.2020EDP7099},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Online Signature Verification Using Single-Template Matching Through Locally and Globally Weighted Dynamic Time Warping
T2 - IEICE TRANSACTIONS on Information
SP - 2701
EP - 2708
AU - Manabu OKAWA
PY - 2020
DO - 10.1587/transinf.2020EDP7099
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2020
AB - 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 verification. 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 effectiveness of the proposed method for online signature verification.
ER -
English
