LINEAR CLASSIFIER IN THE PROBLEMS OF AUTHENTICATION OF THE PERSON FROM HAND-WRITTEN CHARACTERS

Authors

  • Надежда Сергеевна Попова Иркутский государственный университет путей сообщения
  • Виктория Сергеевна Попова Иркутский государственный университет путей сообщения
  • Григорий Давыдович Гефан Иркутский государственный университет путей сообщения

Keywords:

authentication, linear programming, machine learning, methods of classification, recognition of hand-written characters, Python programming language

Abstract

This article discusses the method of a simple linear classifier for solving the problem of identifying the performers of handwritten characters. An urgent problem is the creation of a fast and reliable classification model that allows you to optimally separate different handwriting: a reference signature from a fake one. The article presents the results of a constructed model that provides an analysis of handwriting samples of two persons. The simulation was carried out using the Python programming language.

References

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Published

2025-05-14

How to Cite

Попова, Н. С., Попова, В. С. ., & Гефан, Г. Д. . (2025). LINEAR CLASSIFIER IN THE PROBLEMS OF AUTHENTICATION OF THE PERSON FROM HAND-WRITTEN CHARACTERS. The Electronic Scientific Journal "Young Science of Siberia", (1 (27). Retrieved from http://ojs.irgups.ru/index.php/mns/article/view/2052

Issue

Section

Physical and mathematical Sciences