A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad
There is a long history of using handwritten signatures to verify or authenticate a “signer” of the signed document. With the development of Internet technology, many tasks can be accomplished through the document management system, such as the applications of digital contracts or important document...
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Format: | Article |
Language: | English |
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MDPI AG
2021-06-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/10/11/1337 |
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author | Kuo-Kun Tseng He Chen Charles Chen Charinrat Bansong |
author_facet | Kuo-Kun Tseng He Chen Charles Chen Charinrat Bansong |
author_sort | Kuo-Kun Tseng |
collection | DOAJ |
description | There is a long history of using handwritten signatures to verify or authenticate a “signer” of the signed document. With the development of Internet technology, many tasks can be accomplished through the document management system, such as the applications of digital contracts or important documents, and more secure signature verification is demanded. Thus, the live handwriting signatures are attracting more interest for biological human identification. In this paper, we propose a handwriting signature verification algorithm by using four live waveform elements as the verification features. A new Aho-Corasick Histogram mechanism is proposed to perform this live signature verification. The benefit of the ACH algorithm is mainly its ability to convert time-series waveforms into time-series short patterns and then perform a statistical counting on the AC machine to measure the similarity. Since AC is a linearly time complexity algorithm, our ACH method can own a deterministic processing time. According to our experiment result, the proposed algorithm has satisfying performance in terms of speed and accuracy with an average of 91% accuracy. |
first_indexed | 2024-03-10T10:47:00Z |
format | Article |
id | doaj.art-99bd48004bf0464a8f83df2d03ab202d |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-03-10T10:47:00Z |
publishDate | 2021-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-99bd48004bf0464a8f83df2d03ab202d2023-11-21T22:34:01ZengMDPI AGElectronics2079-92922021-06-011011133710.3390/electronics10111337A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart PadKuo-Kun Tseng0He Chen1Charles Chen2Charinrat Bansong3Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518055, ChinaDepartment of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518055, ChinaSchool of Computer Science and Engineering, Minnan Normal University, Zhangzhou 363000, ChinaDepartment of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518055, ChinaThere is a long history of using handwritten signatures to verify or authenticate a “signer” of the signed document. With the development of Internet technology, many tasks can be accomplished through the document management system, such as the applications of digital contracts or important documents, and more secure signature verification is demanded. Thus, the live handwriting signatures are attracting more interest for biological human identification. In this paper, we propose a handwriting signature verification algorithm by using four live waveform elements as the verification features. A new Aho-Corasick Histogram mechanism is proposed to perform this live signature verification. The benefit of the ACH algorithm is mainly its ability to convert time-series waveforms into time-series short patterns and then perform a statistical counting on the AC machine to measure the similarity. Since AC is a linearly time complexity algorithm, our ACH method can own a deterministic processing time. According to our experiment result, the proposed algorithm has satisfying performance in terms of speed and accuracy with an average of 91% accuracy.https://www.mdpi.com/2079-9292/10/11/1337live signaturesignature verificationAho-Corasick algorithm |
spellingShingle | Kuo-Kun Tseng He Chen Charles Chen Charinrat Bansong A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad Electronics live signature signature verification Aho-Corasick algorithm |
title | A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad |
title_full | A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad |
title_fullStr | A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad |
title_full_unstemmed | A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad |
title_short | A Secure Live Signature Verification with Aho-Corasick Histogram Algorithm for Mobile Smart Pad |
title_sort | secure live signature verification with aho corasick histogram algorithm for mobile smart pad |
topic | live signature signature verification Aho-Corasick algorithm |
url | https://www.mdpi.com/2079-9292/10/11/1337 |
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