Machine Learning in the Field of Optical Character Recognition (OCR)

Mr. Rishabh Dubey

Title:
Machine Learning in the Field of Optical Character Recognition (OCR)

Authors:
Mr. Rishabh Dubey

Cite This Article :

Mr. Rishabh Dubey "Machine Learning in the Field of Optical Character Recognition (OCR)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.1664-1668, URL: https://www.ijtsrd.com/papers/ijtsrd33233.pdf

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Abstract :
Optical character recognition (OCR) deals with the process of identification of alphabets and various scripts. Optical character recognition (OCR) is one of the trending topics of all time. Optical character recognition (OCR) is used for pattern detection and artificial intelligence. Machine learning is widely used in the field of OCR to provide good accuracy in the result. In Python, Pytesseract is an optical character recognition (OCR) tool for python. The paper starts with an introduction and brief background and history of Optical character recognition (OCR) systems. Then the various techniques of OCR systems such as optical scanning, location segmentation, pre-processing, feature extraction and post-processing. The different applications of OCR systems are highlighted next followed by the current uses of the OCR systems. The future of the Optical character recognition (OCR) systems with machine learning environment is presented.

Keywords :
OCR, Machine learning, Detection, pytesseract, python

Publication Details:

Unique Identification Number : IJTSRD33233

Published In : Volume-4 | Issue-5, August 2020

Page Number(s) : 1664-1668

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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