Online signature verification using neural network and Pearson correlation features
In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtai...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69114/ http://psasir.upm.edu.my/id/eprint/69114/1/Online%20signature%20verification%20using%20neural%20network%20and%20Pearson%20correlation%20features.pdf |
| _version_ | 1848856316426059776 |
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| author | Iranmanesh, Vahab Syed Ahmad Abdul Rahman, Sharifah Mumtazah Wan Adnan, Wan Azizun Malallah, Fahad Layth Yussof, Salman |
| author_facet | Iranmanesh, Vahab Syed Ahmad Abdul Rahman, Sharifah Mumtazah Wan Adnan, Wan Azizun Malallah, Fahad Layth Yussof, Salman |
| author_sort | Iranmanesh, Vahab |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtained features were used in back-propagation neural network for verification. The results indicate an accuracy of 82.42%. |
| first_indexed | 2025-11-15T11:39:43Z |
| format | Conference or Workshop Item |
| id | upm-69114 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:39:43Z |
| publishDate | 2013 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-691142019-06-12T07:35:02Z http://psasir.upm.edu.my/id/eprint/69114/ Online signature verification using neural network and Pearson correlation features Iranmanesh, Vahab Syed Ahmad Abdul Rahman, Sharifah Mumtazah Wan Adnan, Wan Azizun Malallah, Fahad Layth Yussof, Salman In this paper, we proposed a method for feature extraction in online signature verification. We first used signature coordinate points and pen pressure of all signatures, which are available in the SIGMA database. Then, Pearson correlation coefficients were selected for feature extraction. The obtained features were used in back-propagation neural network for verification. The results indicate an accuracy of 82.42%. IEEE 2013 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69114/1/Online%20signature%20verification%20using%20neural%20network%20and%20Pearson%20correlation%20features.pdf Iranmanesh, Vahab and Syed Ahmad Abdul Rahman, Sharifah Mumtazah and Wan Adnan, Wan Azizun and Malallah, Fahad Layth and Yussof, Salman (2013) Online signature verification using neural network and Pearson correlation features. In: 2013 IEEE Conference on Open Systems (ICOS), 2-4 Dec. 2013, Sarawak, Malaysia. (pp. 18-21). 10.1109/ICOS.2013.6735040 |
| spellingShingle | Iranmanesh, Vahab Syed Ahmad Abdul Rahman, Sharifah Mumtazah Wan Adnan, Wan Azizun Malallah, Fahad Layth Yussof, Salman Online signature verification using neural network and Pearson correlation features |
| title | Online signature verification using neural network and Pearson correlation features |
| title_full | Online signature verification using neural network and Pearson correlation features |
| title_fullStr | Online signature verification using neural network and Pearson correlation features |
| title_full_unstemmed | Online signature verification using neural network and Pearson correlation features |
| title_short | Online signature verification using neural network and Pearson correlation features |
| title_sort | online signature verification using neural network and pearson correlation features |
| url | http://psasir.upm.edu.my/id/eprint/69114/ http://psasir.upm.edu.my/id/eprint/69114/ http://psasir.upm.edu.my/id/eprint/69114/1/Online%20signature%20verification%20using%20neural%20network%20and%20Pearson%20correlation%20features.pdf |