Myasoutov Ramil Khamzyaevich (Postgraduate student, Volgograd State University)
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This paper proposes a solution to the problem of identifying a person’s gender by his handwriting. To solve this problem, the author suggests using a system complex consisting of several parts using neural networks and probabilistic - static decision-making methods. The work demonstrates a prototype of this system and also describes the overall interaction of submodules. Various methods for solving the classification problem using neural networks are considered and a comparative characteristic of the operation of each of the methods is given.
Keywords:convolutional neural networks, decision-making methods, handwriting analysis, computer vision.
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Citation link: Myasoutov R. K. Creation of a system for recognizing a person’s gender by his handwriting // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№07. -С. 86-90 DOI 10.37882/2223-2966.2020.07.23 |
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