Deformed and Touched Characters Recognition

Tadashi Hyuga, H. Wada, Tomoyoshi Aizawa, Yoshihisa Ijiri, M. Kawade
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引用次数: 1

Abstract

In this demonstration, we will show our Optical Character Recognition(OCR) technique. Character deformation and touching problems often occur during high-speed printing process in the machine vision industry. As a result, it is difficult for OCR system to segment and recognize characters properly. To solve these problems, we propose a novel OCR technique which is robust against deformation and touching. It splits regions of characters simply and excessively, recognizes all segments and merged regions, and obtains optimal segments using graph theory.
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变形和触摸字符识别
在这个演示中,我们将展示我们的光学字符识别(OCR)技术。在机器视觉行业中,高速印刷过程中经常出现字符变形和触摸问题。因此,OCR系统难以对字符进行正确的分割和识别。为了解决这些问题,我们提出了一种新的抗变形和抗触摸的OCR技术。该算法对字符区域进行简单而过度的分割,对所有分割区域和合并区域进行识别,并利用图论得到最优分割区域。
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