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Implementation of Optical Character Recognition Using Machine Learning

Vishal Chourasia1 , Sanjay Silakari2 , Rajeev Pandey3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1350-1356, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.13501356

Online published on Jun 30, 2018

Copyright © Vishal Chourasia, Sanjay Silakari, Rajeev Pandey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Vishal Chourasia, Sanjay Silakari, Rajeev Pandey, “Implementation of Optical Character Recognition Using Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1350-1356, 2018.

MLA Style Citation: Vishal Chourasia, Sanjay Silakari, Rajeev Pandey "Implementation of Optical Character Recognition Using Machine Learning." International Journal of Computer Sciences and Engineering 6.6 (2018): 1350-1356.

APA Style Citation: Vishal Chourasia, Sanjay Silakari, Rajeev Pandey, (2018). Implementation of Optical Character Recognition Using Machine Learning. International Journal of Computer Sciences and Engineering, 6(6), 1350-1356.

BibTex Style Citation:
@article{Chourasia_2018,
author = {Vishal Chourasia, Sanjay Silakari, Rajeev Pandey},
title = {Implementation of Optical Character Recognition Using Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1350-1356},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2351},
doi = {https://doi.org/10.26438/ijcse/v6i6.13501356}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.13501356}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2351
TI - Implementation of Optical Character Recognition Using Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Vishal Chourasia, Sanjay Silakari, Rajeev Pandey
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1350-1356
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

With the passing of time, the realm of human knowledge is ever expanding. Further, with each passing day, we witness the explosion of information which is evident in life style, social events and breakthrough in medical science. The human beings from time memorial have attempted to preserve the information for posterity by adopting various forms starting with pictorial forms in stone carvings and subsequently recorded in palm leafs, metal sheets, as well as leather sheets. With the invention of paper and subsequent electronics, the information is recorded with ease and could be transferred to any corner of world within seconds, but modern technology, facilitating electronic preservation of information faced a challenging task of gigantic and herculean proportion while it preserving information, voluminous in quantity, recorded on papers, from preceding centuries, into electronic form. The same became more difficult with numerous languages spoken and written by people from every corner of the world. Adoption of Optical Character Recognition (OCR), producing editable text out of text image documents, has reduced the problem to a great extent. Even though, the OCR is fairly advanced in major languages like English, French etc. Various random images are taken for simulation then accuracy is measured to conclude the efficiency of the OCR system.

Key-Words / Index Term

Optical Character Recognition (OCR), Editable Text, Modern Technology, Feature Extraction

References

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