An Intelligent Information Technology for Symbol-Extraction from Weakly Formalized Graphic Documents
- Autores: Vasin Y.G.1, Vasin D.Y.1
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Afiliações:
- Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
- Edição: Volume 29, Nº 1 (2019)
- Páginas: 51-57
- Seção: 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
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Resumo
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.
Sobre autores
Yu. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Email: dm04@list.ru
Rússia, Nizhny Novgorod
D. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Autor responsável pela correspondência
Email: dm04@list.ru
Rússia, Nizhny Novgorod
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