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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM21393
Volume:
7 |
5 |
May 2023
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.
Extracting text from images is a challenging task that has many applications, such as in optical character recognition (OCR), document digitization, and image indexing. In this paper, we explore the use of OpenCV and EasyOCR libraries to extract text from images in Python. We first provide an overview of the problem of text extraction from images and the existing solutions. We then describe the OpenCV and EasyOCR libraries and their features, followed by a detailed explanation of the methodology we used to extract text from images. Finally, we present the results of our experiments and discuss the limitations of our approach.
KEYWORDS
Publication Date
5/19/2023
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.
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