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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM13125
Volume:
6 |
5 |
May 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The paperwork utilized in keeping diverse kinds of files in our daily life is time consuming and also it is far tough to preserve and recall the involved documents. This problem can be solved by the Optical Character Recognition (OCR) technique which is used for extracting texts and characters from an image which has a high accuracy rate for good quality images. In this project we will use machine learning techniques to train a model to recognize characters from images and then we compare it with results from Tesseract OCR Engine (which is an optical character recognition engine for various operating systems) to check accuracy of the model. The outcome of this project will be an application which implements machine learning techniques 36 model of OCR and a web version of OCR running on Tesseract API. It is observed that for the high resolution images the accuracy is above 84%.
KEYWORDS
Publication Date
5/14/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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