title: ÐÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿Ð¾ÑÐµÑÐºÐ° Ð´Ð»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¹ Ð² Ð¿ÑÐ¸Ñ Ð¾Ð»Ð¾Ð³Ð¸Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Designing a handwriting analysis system for the research of the use of automated technologies in psychology
Creators: name: ÐÑÐ±ÐºÐ¾, ÐÐ»ÐµÐºÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
python
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð³ÑÐ°ÑÐ¾Ð»Ð¾Ð³Ð¸Ñ
image processing
data mining
machine learning
graphology

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description: The object of the study are methods of graphological analysis of human handwriting in order to match the features of handwriting with psychological characteristics. Subject of the research is a system of automated graphological analysis of handwriting. Purpose of work - development of system and the applied program which could define on the basis of handwriting psychological characteristics of the person within the set accuracy. In this paper, research and review of handwriting analysis methods were conducted, the most appropriate ways to automate the characteristics of handwriting were dismantled and selected. Various strategies for processing images with text were also parsed so that it could be extracted from the image and further processed. After reviewing, the developed algorithms for image preprocessing, segmentation, and possible implementations of graphological analysis methods were described. At the end, experimental testing of developed system was conducted to estimate the time and accuracy of developed implementations. As a result, a modular system of handwriting analysis based on images was developed, as well as the application software for use.