An Intelligent Information Technology for Symbol-Extraction from Weakly Formalized Graphic Documents


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

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

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2019 Pleiades Publishing, Ltd.