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A Printed Chinese Character Recognition Method Based on Area Brightness Feature

机译:一种基于面积亮度特征的印刷汉字识别方法

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摘要

This paper proposes a method for printed Chinese character recognition based on the area brightness feature, which is simple and has a low computational cost. It can achieve over 93% accuracy in recognizing printed Chinese characters equal to or greater than 10.5 pt which can meet the needs of certain situations (such as screen capture). The disadvantage of this method is its poor anti-distortion handling ability, and the recognition accuracy of smaller images still needs to be improved.
机译:本文提出了一种基于面积亮度特征的印刷汉字识别方法,简单且具有低计算成本。它可以在识别出等于或大于10.5 PT的印刷中文字符中实现超过93%的准确性,这可以满足某些情况的需求(例如屏幕捕获)。该方法的缺点是其抗失真处理能力差,并且仍然需要提高较小图像的识别精度。

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