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- Article name
- Handwriting Verification using immunological and neural network technologies
- Authors
- Bryuhomitsky Yu. A., , bryuhomitskiy@sfedu.ru, Southern Federal University, Taganrog, Russia
Abramov E. S., , abramoves@sfedu.ru, Southern Federal University, Taganrog, Russia
- Keywords
- text-independent online manuscript analysis / author's personality verification / dynamic biometrics / artificial immune systems / artificial neural networks
- Year
- 2019 Issue 4 Pages 31 - 37
- Code EDN
- Code DOI
- Abstract
- A method of online analysis of the manuscript is proposed, aimed at verifying the identity of the author. The method is based on the integrated application of technologies of artificial immune systems and artificial neural networks. The method is focused on the use of texts of arbitrary volume, content and language. The combination of a large volume of analyzed handwritten data and the method of their processing allows to increase the accuracy of verification. Analysis of handwritten data directly at the pace of its receipt allows to make an appropriate decision in time.
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