Finding a Rational Set of Features for Handwritten Signature Recognition

dc.contributor.author	Anisimova E.S.
dc.contributor.author	Anikin I.V.
dc.date.accessioned	2021-02-25T06:55:19Z
dc.date.available	2021-02-25T06:55:19Z
dc.date.issued	2020
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161529
dc.description.abstract	© 2020 IEEE. In this paper we proposed the approach for dynamic handwritten signatures recognition. We proposed a formal model of the handwritten signature, containing fuzzy features of curvature of discrete handwritten signature functions. We proposed handwritten signature reference template creation algorithm, characterized by the use of the potential method for constructing membership functions of fuzzy features. The choice of a rational set of features has been implemented, which allows to minimize the false accept rate (up to 0.05%), as well as a rational set that minimizes the equal error rate (up to 0.36%), which significantly exceeds the efficiency of existing handwritten signature recognition algorithms.
dc.subject	biometric authentication
dc.subject	formal model
dc.subject	fuzzy logic
dc.subject	handwritten signature
dc.subject	reference template
dc.title	Finding a Rational Set of Features for Handwritten Signature Recognition
dc.type	Conference Paper
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS-2020-SID85099589567

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.