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Offline signature verification using the discrete Radon transform and a hidden Markov model

dc.contributor.authorCoetzer, J.en_ZA
dc.contributor.authorHerbst, B. M.en_ZA
dc.contributor.authorDu Preez, J. A.en_ZA
dc.date.accessioned2013-01-23T14:11:13Z
dc.date.available2013-01-23T14:11:13Z
dc.date.issued2004
dc.identifier.citationCoetzer, J., Herbst, B. M. & Du Preez, J. A. 2004. Offline signature verification using the discrete Radon transform and a hidden Markov model. EURASIP Journal on Applied Signal Processing, 4:559–571, doi:10.1155/S1110865704309042.
dc.identifier.issn1687-6180 (online)
dc.identifier.otherdoi:10.1155/S1110865704309042
dc.identifier.urihttp://hdl.handle.net/10019.1/78686
dc.descriptionCITATION: Coetzer, J., Herbst, B. M. & Du Preez, J. A. 2004. Offline signature verification using the discrete Radon transform and a hidden Markov model. EURASIP Journal on Applied Signal Processing, 4:559–571, doi:10.1155/S1110865704309042.
dc.descriptionThe original publication is available at https://asp-eurasipjournals.springeropen.com
dc.description.abstractWe developed a system that automatically authenticates offline handwritten signatures using the discrete Radon transform (DRT) and a hidden Markov model (HMM). Given the robustness of our algorithm and the fact that only global features are considered, satisfactory results are obtained. Using a database of 924 signatures from 22 writers, our system achieves an equal error rate (EER) of 18% when only high-quality forgeries (skilled forgeries) are considered and an EER of 4.5% in the case of only casual forgeries. These signatures were originally captured offline. Using another database of 4800 signatures from 51 writers, our system achieves an EER of 12.2% when only skilled forgeries are considered. These signatures were originally captured online and then digitally converted into static signature images. These results compare well with the results of other algorithms that consider only global features.
dc.description.urihttps://asp-eurasipjournals.springeropen.com/articles/10.1155/S1110865704309042
dc.format.extent13 pages
dc.language.isoen
dc.publisherHindawi
dc.subjectMarkov processesen_ZA
dc.titleOffline signature verification using the discrete Radon transform and a hidden Markov modelen_ZA
dc.typeArticle
dc.description.versionPublisher's version
dc.rights.holderAuthors retain copyright


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