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Volume - 4 | Issue - 3 | september 2022

Advanced Digital Image Processing Technique based Optical Character Recognition of Scanned Document Open Access
S. Iwin Thanakumar Joseph   169
Pages: 195-205
Cite this article
Joseph, S. Iwin Thanakumar. "Advanced Digital Image Processing Technique based Optical Character Recognition of Scanned Document." Journal of Innovative Image Processing 4, no. 3 (2022): 195-205
DOI
10.36548/jiip.2022.3.007
Published
13 October, 2022
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.

Keywords

Character recognition scanned document image processing text line detection character segmentation

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