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Prikladnaya Diskretnaya Matematika. Supplement, 2017, Issue 10, Pages 73–76
DOI: https://doi.org/10.17223/2226308X/10/31
(Mi pdma324)
 

Mathematical Methods of Cryptography

About handwritten signature verification

A. V. Epishkina, A. V. Beresneva, S. S. Babkin, A. S. Kurnev, V. U. Lermontov

National Engineering Physics Institute "MEPhI", Moscow
References:
Abstract: Some methods for the online verification of handwritten signatures are presented. The methods are based on the KNN algorithm, a Range Classifier algorithm, a hidden Markov model, and the simplest perceptron neural network. The features of these methods are studied in the course of their implementing and testing with the purpose of the further modifications and the development of the most effective ones for all parameters of the verification procedure.
Keywords: verification of handwritten signature, hidden Markov model, neural network.
Document Type: Article
UDC: 004.056
Language: Russian
Citation: A. V. Epishkina, A. V. Beresneva, S. S. Babkin, A. S. Kurnev, V. U. Lermontov, “About handwritten signature verification”, Prikl. Diskr. Mat. Suppl., 2017, no. 10, 73–76
Citation in format AMSBIB
\Bibitem{EpiBerBab17}
\by A.~V.~Epishkina, A.~V.~Beresneva, S.~S.~Babkin, A.~S.~Kurnev, V.~U.~Lermontov
\paper About handwritten signature verification
\jour Prikl. Diskr. Mat. Suppl.
\yr 2017
\issue 10
\pages 73--76
\mathnet{http://mi.mathnet.ru/pdma324}
\crossref{https://doi.org/10.17223/2226308X/10/31}
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