Table Recognition Based on CNN and Grid Feature
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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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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.计算机系统应用,2010,19(11):180-184

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  • Received:March 06,2010
  • Revised:March 30,2010
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