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Data augmentation for signature images in online verification systems

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dc.contributor.authorBeresneva, A.
dc.contributor.authorEpishkina, A.
dc.contributor.authorЕпишкина, Анна Васильевна
dc.date.accessioned2024-11-25T14:50:59Z
dc.date.available2024-11-25T14:50:59Z
dc.date.issued2020
dc.description.abstract© Springer Nature Switzerland AG 2020.One of the main problems of designing a handwritten signature online verification system is a small number of signatures committed by the user for training. To solve this problem, ways of expanding dataset size based on existing authenticated signatures might be proposed. The research proposes a new technique for generating dynamic signatures based on the original sample. The resulting sample simulates real signature forms and letter-style characteristics. Artificially created genuine and fake samples based on the author’s and intruder’s signatures are used to train the classifier, which can improve the accuracy of training on the original sample of a small size. Handwritten signature data augmentation methods were investigated with the aim of further development in more efficient handwritten verification algorithm.
dc.format.extentС. 105-112
dc.identifier.citationBeresneva, A. Data augmentation for signature images in online verification systems / Beresneva, A., Epishkina, A. // Lecture Notes in Computational Vision and Biomechanics. - 2020. - 32. - P. 105-112. - 10.1007/978-3-030-21726-6_10
dc.identifier.doi10.1007/978-3-030-21726-6_10
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-21726-6_10
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85070555670&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000507991800010
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20024
dc.relation.ispartofLecture Notes in Computational Vision and Biomechanics
dc.titleData augmentation for signature images in online verification systems
dc.typeBook Chapter
dspace.entity.typePublication
oaire.citation.volume32
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