OCR With Background Image Ellimination

IMAGE PROCESSING

Optical Character Recognition (OCR) system converts scanned input documents into an Editable Text Document. This report presents for OCR with background image elimination, the various stages (techniques) in OCR, Accuracy of it and use of different Software’s to implement this technique. It is widely used as a form for food package, Invoices, FMCG, on metal parts, passport documents, printout of static data etc. An OCR system enables us to feed a book or a magazine article directly into an Electronic Computer File and edit it. The various stages of an OCR are: Upload a Scanned Image from the Computer, Segmentation Process in which we extract the text zone from the image, Recognition of the text and the last which is Post Processing Process in which the output of the previous stage goes through the Error Detection and Correction Phase. In this project we use the method is effective in removing the background of image and enhance the performance of OCR. The output image is clean after the background elimination.

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