Title :
Border detection of document images scanned from large books
Author :
Shamqoli, Maryam ; Khosravi, Hossein
Author_Institution :
Dept. of Electr. & Robotic Eng., Shahrood Univ. of Technol., Shahrood, Iran
Abstract :
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.
Keywords :
document image processing; edge detection; image enhancement; image sensors; border detection; dark border; digital camera; document borders; document image enhancement; document images; edge detection process; large books; neighboring page; noisy text regions; scanner; skew; unwanted transformations; warping; Classification algorithms; Histograms; Image edge detection; Noise; Noise measurement; Optical character recognition software; Wiener filters; Border Detection; Edge Detection; OCR Preprocessing; Projection Profile;
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
Conference_Location :
Zanjan
Print_ISBN :
978-1-4673-6182-8
DOI :
10.1109/IranianMVIP.2013.6779955