Dynamic signature verification based on hybrid wavelet-Fourier transform
In this paper, we propose a dynamic signature verification system which integrates hybrid of Discrete Wavelet Transform and Discrete Fourier Transform (DWT-DFT) for feature extraction. In feature matching, Euclidean distance and Enveloped Euclidean distance (EED) (a variant of Euclidean distance) ar...
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Sunway University
2014
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| オンライン･アクセス: | http://eprints.sunway.edu.my/402/1/SAJ_Vol%2011_11-21.pdf http://eprints.sunway.edu.my/402/ |
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my.sunway.eprints.4022016-09-29T10:15:16Z http://eprints.sunway.edu.my/402/ Dynamic signature verification based on hybrid wavelet-Fourier transform Khoh, W. H. Yap, H. Y. Pang, Y. H. QA75 Electronic computers. Computer science In this paper, we propose a dynamic signature verification system which integrates hybrid of Discrete Wavelet Transform and Discrete Fourier Transform (DWT-DFT) for feature extraction. In feature matching, Euclidean distance and Enveloped Euclidean distance (EED) (a variant of Euclidean distance) are used. Distances of features are fused into a final score value and used to classify whether a genuine or a forgery signature. A benchmark database, SVC2004 which compose of Task 1 dataset and Task 2 dataset validate the effectiveness of this proposed system. Experimental results reveal a 7.08% EER for skilled forgeries and 2.37% EER of random forgeries in Task 1 dataset; and 8.61% EER for skilled forgeries and 2.05% EER for random forgeries in Task 2 dataset Sunway University 2014 Article PeerReviewed text en cc_by_nd http://eprints.sunway.edu.my/402/1/SAJ_Vol%2011_11-21.pdf Khoh, W. H. and Yap, H. Y. and Pang, Y. H. (2014) Dynamic signature verification based on hybrid wavelet-Fourier transform. Sunway Academic Journal, 11. pp. 11-21. ISSN 1823-500X |
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QA75 Electronic computers. Computer science Khoh, W. H. Yap, H. Y. Pang, Y. H. Dynamic signature verification based on hybrid wavelet-Fourier transform |
| description |
In this paper, we propose a dynamic signature verification system which integrates hybrid of Discrete Wavelet Transform and Discrete Fourier Transform (DWT-DFT) for feature extraction. In feature matching, Euclidean distance and Enveloped Euclidean distance (EED) (a variant of Euclidean distance) are used. Distances of features are fused into a final score value and used to classify whether a genuine or a forgery signature. A benchmark database, SVC2004 which compose of Task 1 dataset and Task 2 dataset validate the effectiveness of this proposed system. Experimental results reveal a 7.08% EER for skilled forgeries and 2.37% EER of random forgeries in Task 1 dataset; and 8.61% EER for skilled forgeries and 2.05% EER for random forgeries in Task 2 dataset |
| format |
Article |
| author |
Khoh, W. H. Yap, H. Y. Pang, Y. H. |
| author_facet |
Khoh, W. H. Yap, H. Y. Pang, Y. H. |
| author_sort |
Khoh, W. H. |
| title |
Dynamic signature verification based on hybrid wavelet-Fourier transform |
| title_short |
Dynamic signature verification based on hybrid wavelet-Fourier transform |
| title_full |
Dynamic signature verification based on hybrid wavelet-Fourier transform |
| title_fullStr |
Dynamic signature verification based on hybrid wavelet-Fourier transform |
| title_full_unstemmed |
Dynamic signature verification based on hybrid wavelet-Fourier transform |
| title_sort |
dynamic signature verification based on hybrid wavelet-fourier transform |
| publisher |
Sunway University |
| publishDate |
2014 |
| url |
http://eprints.sunway.edu.my/402/1/SAJ_Vol%2011_11-21.pdf http://eprints.sunway.edu.my/402/ |
| _version_ |
1644324314279837696 |
| score |
13.251813 |