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Removal of spurious edges from thinned character image: A survey

机译：从变细的字符图像中去除虚假边缘的调查

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摘要

Thinning is an important pre-processing step in many shape based character and word recognition systems. The one-pixel wide thinned character image is useful for identifying the shape of various strokes used to from the character, which is helpful in many applications such as word spotting in the document image, content-based document image retrieval, character and word classification, etc. However, all thinning algorithms generate unwanted spurious edges. As a result, the shape of the stroke is distorted which in turn limits the accuracy of stroke recognition in characters. Thus, removal of these spurious edges from thinned image will improve the state of the art in stroke recognition and benefit many applications stated above. This paper presents a survey of various techniques used for removal of spurious edges from thinned character image and tries to identify the challenges and research gaps in the problem.
机译：在许多基于形状的字符和单词识别系统中，细化是重要的预处理步骤。一像素宽的细化字符图像可用于识别字符习惯使用的各种笔触的形状，这在许多应用程序（例如文档图像中的单词斑点，基于内容的文档图像检索，字符和单词分类，但是，所有细化算法都会生成不需要的虚假边缘。结果，笔画的形状失真，继而限制了字符中笔画识别的准确性。因此，从变细的图像中去除这些虚假边缘将改善笔画识别的现有技术水平，并使上述许多应用受益。本文介绍了用于从变细的字符图像中去除虚假边缘的各种技术的调查，并试图找出问题所在和研究空白。

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