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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
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.
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
Linking options:
https://www.mathnet.ru/eng/pdma324 https://www.mathnet.ru/eng/pdma/y2017/i10/p73
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