An Intelligent Information Technology for Symbol-Extraction from Weakly Formalized Graphic Documents
- Authors: Vasin Y.G.1, Vasin D.Y.1
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Affiliations:
- Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
- Issue: Vol 29, No 1 (2019)
- Pages: 51-57
- Section: Proceedings of the 6th International Workshop
- URL: https://bakhtiniada.ru/1054-6618/article/view/195518
- DOI: https://doi.org/10.1134/S1054661818040284
- ID: 195518
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Abstract
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.
About the authors
Yu. G. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Email: dm04@list.ru
Russian Federation, Nizhny Novgorod
D. Yu. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Author for correspondence.
Email: dm04@list.ru
Russian Federation, Nizhny Novgorod
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