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

机译:基于颜色对比度的特征从场景图像提取字符串

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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:本文基于颜色对比度的特征提出了从场景图像提取了字符串的提取方法。 要了解场景中的条件,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,通过颜色方案加强了重要的单词。 这种效果被称为“颜色对比”。 因此,我们使用颜色对比的特征来提取重要词汇。 实验结果表明,具有强大颜色对比特征的地区打算包括重要词汇。 结果表明场景图像中的字符串能够从这些区域中提取。

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