Geodesic
About handwritten signature verification
Prikladnaya Diskretnaya Matematika. Supplement, no. 10 (2017), pp. 73-76

Voir la notice de l'article provenant de la source Math-Net.Ru

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. 
@article{PDMA_2017_10_a30,
     author = {A. V. Epishkina and A. V. Beresneva and S. S. Babkin and A. S. Kurnev and V. U. Lermontov},
     title = {About handwritten signature verification},
     journal = {Prikladnaya Diskretnaya Matematika. Supplement},
     pages = {73--76},
     publisher = {mathdoc},
     number = {10},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PDMA_2017_10_a30/}
}
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A. V. Epishkina; A. V. Beresneva; S. S. Babkin; A. S. Kurnev; V. U. Lermontov. About handwritten signature verification. Prikladnaya Diskretnaya Matematika. Supplement, no. 10 (2017), pp. 73-76. http://geodesic.mathdoc.fr/item/PDMA_2017_10_a30/