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首页> 外文会议>2017 International Conference on Inventive Computing and Informatics >Removal of border noise, show through and shadow correction in irregularly illuminated scanned document images
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Removal of border noise, show through and shadow correction in irregularly illuminated scanned document images

机译：消除不规则照明的扫描文档图像中的边界噪声，透视和阴影校正

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摘要

Today most of the libraries maintain a digitized version of their document. During the process of scanning the pages of an open book, often problems such as dark borders, show through and shadow are frequently encountered. The shadow is a result of less illumination near the sides of the pages and it degrades the visibility of text near the side. Also any dark areas in the borders mar the appeal of the document. People have carried out various works on removal of such noises in the past. In this paper we have described an effective method based on thresholding to remove show through, combination of horizontal and vertical projection profile and pixel scanning for detection and removal of shadow and dark borders from scanned document images without affecting the useful information contained in the document. The technique was tested on various scanned images and to assess the performance of the method various metrics were calculated and tabulated.
机译：今天，大多数图书馆都维护着其文档的数字化版本。在扫描一本打开的书的页面的过程中，经常会遇到诸如黑色边框，透印和阴影之类的问题。阴影是由于页面两侧的照明较少而导致的，并且降低了文本在侧面的可见性。边界上的任何暗区也会损害文档的吸引力。过去，人们进行了各种工作来消除这种噪音。在本文中，我们描述了一种有效的方法，该方法基于阈值消除水平和垂直投影轮廓和像素扫描相结合的显示，以检测和消除扫描文档图像中的阴影和暗边框，而不会影响文档中包含的有用信息。在各种扫描图像上对该技术进行了测试，并且为了评估该方法的性能，计算并列出了各种指标。

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