DETECTION AND CORRECTION OF SKEW IN TEXT DOCUMENT IMAGES USING ADVANCED PROFILE PROJECTION TECHNIQUE

Document image processing has become an increasingly important technology in the automation of office documentation tasks. Automatic document scanners such as text readers and OCR (Optical Character Recognition) systems are an essential component of systems capable of those tasks. One of the problems in this field is that the document to be read is not always placed correctly on a flatbed scanner. This means that the documen t may be skewed on the scanner bed, resulting in a skewed image. This skew has a detrimental effect on document analysis, document understanding, and character segmentation and recognition. Consequently, detecting the skew of a document image and correctin g it are important issues in realizing a practical document reader. Very frequently the digitalization process of documents produce images rotated of small angles in relation to the original image axis. In this paper, we present an algorithm that can detec t and correct the skew in text document image using advanced projection profile technique. System is evaluated on various types of inputs consist of multiple script text. System first detect the skewed angle then system detect the type of skew whether it i s upward or downward skew then accordingly system perform the rotation transformation on the given matrix. Overall accuracy of the proposed system is evaluated is very good than that of existing systems