An Intelligent Information Technology for Symbol-Extraction from Weakly Formalized Graphic Documents
- Авторы: Vasin Y.G.1, Vasin D.Y.1
-
Учреждения:
- Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
- Выпуск: Том 29, № 1 (2019)
- Страницы: 51-57
- Раздел: Proceedings of the 6th International Workshop
- URL: https://journals.rcsi.science/1054-6618/article/view/195518
- DOI: https://doi.org/10.1134/S1054661818040284
- ID: 195518
Цитировать
Аннотация
In this paper, we consider algorithms for synthesizing effective distortion-tolerant features and decision rules to recognize weakly formalized objects on large-format bitmap images. In addition, we analyze the effect of binarization of the initial bitmap description on the quality of subsequent automatic recognition.
Об авторах
Yu. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Email: dm04@list.ru
Россия, Nizhny Novgorod
D. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Автор, ответственный за переписку.
Email: dm04@list.ru
Россия, Nizhny Novgorod
Дополнительные файлы
