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Segmentation and extraction of text from curved text lines using image processing approach

机译:使用图像处理方法从弯曲文本行中分割和提取文本

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The camera captured images containing text are having curved text lines because of distortions by page curl and the view angle of camera. So it is necessary while scanning the document, the text should be straight and words are inline properly. But text lines segmentation of curled text is a difficult method for dewraping techniques. This paper presents the method based on image processing algorithms for segmentation and extraction of characters from curled text lines from document images. The algorithm performs the curved text segmentation using x-line and base line. The words in the document image are identified and bounding boxes are plotted around the words. The properties of connected components are used for segmentation of words. This algorithm achieved good accuracy for extraction of characters from curved text lines.
机译:由于页面卷曲和相机视角的扭曲,包含文本的相机捕获图像具有弯曲的文本行。因此,有必要在扫描文档时,文本应该是直的,并且单词应正确内联。但是,卷曲文本的文本行分割是一种用于包装技术的困难方法。本文提出了一种基于图像处理算法的方法,用于从文档图像的卷曲文本行中分割和提取字符。该算法使用x线和基线执行弯曲文本分割。识别文档图像中的单词,并在单词周围绘制边框。连接组件的属性用于词的分段。该算法从弯曲的文本行中提取字符具有良好的准确性。

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