电邮这篇文章 An Intelligent Information Technology for Symbol-Extraction from Weakly Formalized Graphic Documents
- 作者: Vasin Y.G.1, Vasin D.Y.1
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隶属关系:
- Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
- 期: 卷 29, 编号 1 (2019)
- 页面: 51-57
- 栏目: 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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详细
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.
作者简介
Yu. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
Email: dm04@list.ru
俄罗斯联邦, Nizhny Novgorod
D. Vasin
Center for Computer Science and Intelligent Information Technologies, Institute of Information Technology, Mathematics, and Mechanics
编辑信件的主要联系方式.
Email: dm04@list.ru
俄罗斯联邦, Nizhny Novgorod
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