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Extraction of character strings from scene image based on feature of color contrast

机译:基于色彩对比特征的场景图像字符串提取

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摘要

In this paper, we propose extraction method of character strings from scene image based on feature of color contrast. To understand condition in scene, characters in scene image are the most important information. Especially, important words are intensified by color scheme compared to other words. This effect is said "color contrast". Therefore we use the feature of color contrast to extract important words. Experimental results show that regions which have strong feature of color contrast intend to include important words. And the results show that character strings in scene image are able to extract from these regions.
机译:本文提出一种基于颜色对比度特征的场景图像字符串提取方法。为了了解场景中的情况,场景图像中的字符是最重要的信息。特别是,与其他单词相比,重要单词通过配色方案得到了增强。这种效果称为“色彩对比”。因此,我们使用颜色对比的特征来提取重要的单词。实验结果表明,具有强烈的色彩对比特征的区域打算包含重要的单词。结果表明,场景图像中的字符串能够从这些区域中提取出来。

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