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Application of Geometry Rectification to Deformed Characters Recognition

机译:几何整流在变形字符识别中的应用

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Due to the complexity of text deformation, it brings great difficulties to the character recognition. In this paper, we propose an algorithm based on geometry rectification to identify the deformed characters, which improves the accuracy and recall rate of text recognition. In this method, the deformed character is rectified within a circle using the moments of deformed character, and then it can be recognized in real time by comparing the similarity of distance histogram and angle histogram. Experimental results show that the method based on affine invariant can recognize the English characters and numbers with a very high recognition rate.
机译:由于文本变形的复杂性,它对角色识别带来了很大的困难。在本文中,我们提出了一种基于几何整流的算法来识别变形的字符,从而提高了文本识别的精度和召回率。在该方法中,使用变形特征的瞬间在圆内整流变形字符,然后可以通过比较距离直方图和角度直方图的相似性实时识别它。实验结果表明,基于仿射不变的方法可以以非常高的识别率识别英文字符和数字。

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