| 基于细胞神经网络和网格特征的碑刻文字识别 |
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| 引用本文： | 国方媛,李国东.基于细胞神经网络和网格特征的碑刻文字识别[J].计算机系统应用,2010,19(11):180-184. |
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| 作者姓名： | 国方媛 李国东 |
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| 作者单位： | 1. 华北电力大学,经济与管理学院,北京,102206
2. 华北电力大学,数理学院,北京,102206 |
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| 摘 要： | 碑刻作为文字的载体,具有极其重要的历史价值和艺术价值。但是,因为时间的久远,其拓本大量的噪声对碑刻文字的辨识产生一定的影响。针对这种情况,提出了一种新方法,首先利用细胞神经网络（CNN）技术,去除单个碑刻文字的噪声,然后用网格特征提取方法对其进行识别。本文在MATLAB平台上进行了实例模拟,取得了较好的效果。
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| 关 键 词： | 细胞神经网络 网格特征 二维中值滤波 碑刻 文字识别 |
| 收稿时间： | 3/6/2010 12:00:00 AM |
| 修稿时间： | 2010/3/30 0:00:00 |
Table Recognition Based on CNN and Grid Feature |
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| GUO Fang-Yuan,LI Guo-Dong.Table Recognition Based on CNN and Grid Feature[J].Computer Systems& Applications,2010,19(11):180-184. |
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| Authors: | GUO Fang-Yuan LI Guo-Dong |
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| Affiliation: | 1.Department of Economics and Management,North China Electric Power University,Beijing 102206,China;2.Department of Mathematics and Physics,North China Electric Power University,Beijing 102206,China) |
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| Abstract: | As a carrier of the text, the table has very important historical and artistic value. However, because of a long time, a lot of noises on the rubbings have impact on recognizing text. This paper proposes a new method for this case. Firstly, remove the noises of a single table using CNN technology. And then recognize the table using the grid feature extraction method. The simulation example is based on MATLAB software, and we achieve good results. |
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| Keywords: | CNN grid feature 2D median filter table text recognition |
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