Document skew detection using minimum-area bounding rectangle

R. Safabakhsh, Shahram Khadivi
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引用次数: 25

Abstract

Detection of document skew is an important step in document image analysis. The paper presents a new method for calculation of document skew. The method forms large connected components by a smoothing algorithm and calculates the document skew by finding the orientation of the minimum-area bounding rectangle of one of several connected components. Connection of text to non-text in the smoothing step does not degrade the performance of the method. The smoothing parameters are determined automatically and no manual adjustment is necessary. The method is not limited in the range of detectable skew angles and the achievable accuracy. Experimental results show the high performance of the algorithm in detecting document skew for a variety of documents with different levels of complexity.
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使用最小面积边界矩形进行文档倾斜检测
文档倾斜检测是文档图像分析中的一个重要步骤。本文提出了一种计算文献偏斜的新方法。该方法通过平滑算法形成大的连通分量,并通过查找若干连通分量中的一个的最小面积边界矩形的方向来计算文档倾斜。平滑步骤中文本与非文本的连接不会降低该方法的性能。平滑参数自动确定,无需手动调整。该方法不受可检测的倾斜角度范围和可实现的精度的限制。实验结果表明,该算法在检测不同复杂程度的文档倾斜方面具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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