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A Novel Text Detection Approach Based on Multi-Structure Element of Morphology

机译:基于形态学多结构元素的文本检测新方法

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A novel text detection method based on multi-structure elements of morphology is presented to extract text lines in this paper. Firstly, a multi-structure elements of morphology-based scheme is executed to extract contrast edges from color images. Then connected component analysis and a cascade classification scheme are adopted to obtain candidate text lines. Finally, a projection based method is applied to extract character characteristics to filter out impossible text lines. Experimental results indicate that the proposed method can effectively detect text lines in different font-size, language and background complexity.
机译:提出了一种基于形态学多结构元素的文本检测方法,以提取文本行。首先,执行基于形态学的方案的多结构元素以从彩色图像中提取对比度边缘。然后采用连通分量分析和级联分类方案获得候选文本行。最后,基于投影的方法被应用于提取字符特征以过滤掉不可能的文本行。实验结果表明,该方法可以有效地检测不同字体大小,语言和背景复杂度的文本行。

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