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Language Independent Skew Detection and Correction of Printed Text Document Images: A Non-rotational Approach

机译:与语言无关的偏斜检测和打印文本文档图像校正:一种非旋转方法

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摘要

The work presented in this paper focuses on detection and correction of skew in language independent printed text document images, ranging from -30° to +30°. A method is developed to detect the skew in printed document image and a non-rotational transformation process is proposed to correct the skew. The method uses linear approximation approach directly to correct the skew without finding the angle of skew. The method consists of two stages. The direction of skew is detected based on fixing boundary lines across the corners of the document image in the first stage. Second stage uses a non rotational transformation to correct the skew in the document image. The method has been tested on variety of printed document images with different skew angles and languages.
机译:本文介绍的工作重点在于检测和纠正与语言无关的印刷文本文档图像中的倾斜(范围从-30°到+ 30°)。提出了一种检测打印文档图像中偏斜的方法,并提出了一种非旋转变换过程来校正偏斜。该方法直接使用线性逼近方法来校正偏斜而不找到偏斜角。该方法包括两个阶段。在第一阶段中,基于跨文档图像拐角的固定边界线来检测歪斜方向。第二阶段使用非旋转变换来校正文档图像中的偏斜。该方法已在具有不同倾斜角度和语言的各种打印文档图像上进行了测试。

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