Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification
Online signature verification has been widely applied in biometrics and forensics. Due to the recent demand on high-speed systems in this era of big data, to simultaneously improve its performance and calculation complexity, this study focuses on a single-template strategy that uses dynamic time war...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8736875/ |
| _version_ | 1811274279215431680 |
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| author | Manabu Okawa |
| author_facet | Manabu Okawa |
| author_sort | Manabu Okawa |
| collection | DOAJ |
| description | Online signature verification has been widely applied in biometrics and forensics. Due to the recent demand on high-speed systems in this era of big data, to simultaneously improve its performance and calculation complexity, this study focuses on a single-template strategy that uses dynamic time warping (DTW) with dependent warping for online signature verification, and attempts to construct a novel time-series averaging method called Euclidean barycenter-based DTW barycenter averaging (EB-DBA). Specifically, this study proposes a single-template strategy using a mean template created by the EB-DBA to achieve higher performance at lower calculation complexity for online signature verification. The method’s discriminative power is enhanced upon the exploration of two DTW warping types, where it is found that the DTW with dependent warping exhibits better performance. The popular MCYT-100 dataset is utilized in the experiments, which confirms the effectiveness of the proposed method in simultaneously achieving lower error rate and lower calculation complexity, for online signature verification. |
| first_indexed | 2024-04-12T23:16:09Z |
| format | Article |
| id | doaj.art-6a4b364ba59640c69a435f7774866e53 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T23:16:09Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6a4b364ba59640c69a435f7774866e532022-12-22T03:12:41ZengIEEEIEEE Access2169-35362019-01-017810108101910.1109/ACCESS.2019.29230938736875Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature VerificationManabu Okawa0https://orcid.org/0000-0002-0050-7085Metropolitan Police Department, Forensic Science Laboratory, Tokyo, JapanOnline signature verification has been widely applied in biometrics and forensics. Due to the recent demand on high-speed systems in this era of big data, to simultaneously improve its performance and calculation complexity, this study focuses on a single-template strategy that uses dynamic time warping (DTW) with dependent warping for online signature verification, and attempts to construct a novel time-series averaging method called Euclidean barycenter-based DTW barycenter averaging (EB-DBA). Specifically, this study proposes a single-template strategy using a mean template created by the EB-DBA to achieve higher performance at lower calculation complexity for online signature verification. The method’s discriminative power is enhanced upon the exploration of two DTW warping types, where it is found that the DTW with dependent warping exhibits better performance. The popular MCYT-100 dataset is utilized in the experiments, which confirms the effectiveness of the proposed method in simultaneously achieving lower error rate and lower calculation complexity, for online signature verification.https://ieeexplore.ieee.org/document/8736875/Biometricsforensicsonline signature verificationtemplate matchingtime-series averagingdynamic time warping (DTW) |
| spellingShingle | Manabu Okawa Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification IEEE Access Biometrics forensics online signature verification template matching time-series averaging dynamic time warping (DTW) |
| title | Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification |
| title_full | Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification |
| title_fullStr | Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification |
| title_full_unstemmed | Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification |
| title_short | Template Matching Using Time-Series Averaging and DTW With Dependent Warping for Online Signature Verification |
| title_sort | template matching using time series averaging and dtw with dependent warping for online signature verification |
| topic | Biometrics forensics online signature verification template matching time-series averaging dynamic time warping (DTW) |
| url | https://ieeexplore.ieee.org/document/8736875/ |
| work_keys_str_mv | AT manabuokawa templatematchingusingtimeseriesaveraginganddtwwithdependentwarpingforonlinesignatureverification |