| DC Field | Value | Language |
|---|
| dc.contributor.author | Starovoitov, V. | - |
| dc.contributor.author | Akhundjanov, U. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-23T11:41:53Z | - |
| dc.date.available | 2024-02-23T11:41:53Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Starovoitov, V. Writer-Dependent Approach to Off-line Signature Verification / V. Starovoitov, U. Akhundjanov // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 241–244. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54360 | - |
| dc.description.abstract | Results of a new approach to off-line signature verification are presented. The approach is writer-dependent.
To verify a signature, only 15≥N≥5 genuine signatures of the person are used. The signature images are pre-processed and normalized into a contour representation. We then compute two new signature features: the distribution of LBP values and local curvature of contours in the binary signature image. For
a signature submitted for analysis, N genuine signatures of this person are randomly selected and a one-class SVM classifier is developed. Accuracy of our approach in verification of all 2640 signatures from the public CEDAR database was 99.77%. All fake signatures were correctly recognized even with N=5 genuine signatures used to build the classifier. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | signature | en_US |
| dc.subject | off-line verification | en_US |
| dc.subject | image processing | en_US |
| dc.subject | features | en_US |
| dc.subject | classifier | en_US |
| dc.subject | one-class SVM | en_US |
| dc.title | Writer-Dependent Approach to Off-line Signature Verification | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
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