Recognition handwriting and printed text for software requirements engineering
Автор: Kaznin Aleksei
Журнал: Бюллетень науки и практики @bulletennauki
Рубрика: Технические науки
Статья в выпуске: 12 т.5, 2019 года.
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This article discusses the problems of collecting software requirements. The existing computer vision technologies are analyzed and the choice of technology for recognizing handwritten and printed text is justified. The input data for the experiments are described and the results of character recognition for each image category are presented. A method of image preprocessing and recognition of text characters on mobile devices using parallel computing has been developed. On the basis of the proposed method, a prototype mobile application for collecting and digitalizing data obtained during the requirements engineering has been developed.
Text recognition, image preprocessing, mobile devices
Короткий адрес: https://sciup.org/14115173
IDR: 14115173 | DOI: 10.33619/2414-2948/49/29