Guru, D. S. and Prakash, H. N. (2009) Online signature verification and recognition: an approach based on symbolic representation. IEEE Transactions on Pattern Analysis And Machine Intelligence, 31 (6). pp. 1059-1073. ISSN 1939-3539
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In this paper, we propose a new method of representing online signatures by interval-valued symbolic features. Global features of online signatures are used to form an interval-valued feature vectors. Methods for signature verification and recognition based on the symbolic representation are also proposed. We exploit the notions of writer-dependent threshold and introduce the concept of feature-dependent threshold to achieve a significant reduction in equal error rate. Several experiments are conducted to demonstrate the ability of the proposed scheme in discriminating the genuine signatures from the forgeries. We investigate the feasibility of the proposed representation scheme for signature verification and also signature recognition using all 16,500 signatures from 330 individuals of the MCYT bimodal biometric database. Further, extensive experimentations are conducted to evaluate the performance of the proposed methods by projecting features onto Eigenspace and Fisherspace. Unlike other existing signature verification methods, the proposed method is simple and efficient. The results of the experimentations reveal that the proposed scheme outperforms several other existing verification methods, including the state-of-the-art method for signature verification.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Symbolic features; interval-valued features; writer-dependent threshold; feature-dependent threshold; acceptance count; online signature verification; online signature recognition |
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | Users 19 not found. |
| Date Deposited: | 26 Aug 2019 05:05 |
| Last Modified: | 26 Aug 2019 05:05 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/6994 |
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