Novel Features for Off-line Signature Verification
In this paper a novel feature extraction scheme has been suggested for offline signature verification. The proposed method used geometric center for feature extraction. Euclidean distance model was used for classification. This classifier is well suitable for features extracted and fast in computati...
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| Veröffentlicht in: | International Journal of Computers Communications & Control 2006-03, Vol.1 (1), p.17 |
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| container_title | International Journal of Computers Communications & Control |
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| creator | Majhi, Banshider Reddy, Y Santhosh Babu, D Prasanna |
| description | In this paper a novel feature extraction scheme has been suggested for offline signature verification. The proposed method used geometric center for feature extraction. Euclidean distance model was used for classification. This classifier is well suitable for features extracted and fast in computation. Method proposed in this paper leads to better results than existing offline signature verification methods. Threshold selection is based on statistical parameters like average and standard deviation (sigma). |
| doi_str_mv | 10.15837/ijccc.2006.1.2268 |
| format | Article |
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| ispartof | International Journal of Computers Communications & Control, 2006-03, Vol.1 (1), p.17 |
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| source | DOAJ Directory of Open Access Journals |
| subjects | Euclidean geometry Feature extraction Verification |
| title | Novel Features for Off-line Signature Verification |
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