Border detection of document images scanned from large books
Maryam Shamqoli, Hossein Khosravi · 2013
Document images usually suffer from some unwanted transformations like skew and warping. When dealing with large books, another problem is also introduced; when we capture a page of a large book using digital camera or scanner, some extra margins appears. The resulting document is often framed by a dark border and noisy text regions from neighboring page. In this paper, we introduce a novel technique for enhancing the document images by automatically detecting the document borders and cutting out noisy area. Our methodology is based on projecting profiles combined with an edge detection process. Experimental results on several document images, mainly historical with a small slope, indicate the effectiveness of the proposed technique.