Straightening Uniformly Folded Document Image

Abstract

Image processing is very much important area of research nowadays and is being taken interest deeply as the mobile phones and smart cameras are demands of the emerging global markets. Document image processing is the sub branch of it which includes processing the images of the paper may or may not be containing any write up or say textual contents, graphics, tables or any informative thing in form of written or printed stuff. Many a time’s we people are habituated to fold the document papers in our hands and put them in pocket or somewhere. If then we want them to be scanned or apply OCR (OPTICAL CHARACTER RECOGNITION) on them then we need to capture an image of such folded documents. For image acquisition there are many sources like digital cameras, mobile phone cameras, printers etc. are available around us. When we need to scan them to convert them into electronic form (to perform OCR on them), then the problems occur because the folded documents cannot be easily scanned as they have folds and due to such folds there are huge possibilities of shadows in fold parts which can distort the quality of the document as well as this may make the readability of the document poorer. In this paper, the authors have proposed an algorithm to straighten such folded document image to get accurate OCR results in accordance with least distortion in quality of the same. The derived method helps to straighten the uniform folds digitally. So that the processed document can be applied to get improved OCR results with improved in terms of accuracy.