Advanced Digital Image Processing Technique based Optical Character Recognition of Scanned Document

Abstract

For many years, the field of image processing and pattern approval has included handwriting approval among its most intriguing and rigid analytical fields. In this article, the steps necessary to convert text from a paper document to a computer-readable format has been discussed. This is the most tedious and labor-intensive task. For nearly three decades, scientists have been trying to figure out how to make a computer read like a human. In Optical Character Recognition (OCR), a scanned picture is converted mechanically or electronically into an image that may be read as handwritten, typed, or printed text. It's a way to turn paper documents into digital files that can be searched and utilised in automated procedures. To facilitate applications like machine translation, text-to-speech, and text mining, OCR encodes the pictures as machine-readable text. It's an easy and inexpensive approach to make OCR that can read any document in a standard font size and with standard handwriting.