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  1. Home
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  5. Analysis of Optical Character Recognition using EasyOCR under Image Degradation
 
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Analysis of Optical Character Recognition using EasyOCR under Image Degradation

Journal
Journal of Physics: Conference Series
ISSN
17426588
Date Issued
2023
Author(s)
Muhamad Aqil Mirza Salehudin
Universiti Malaysia Perlis
Shafriza Nisha Basah
Universiti Malaysia Perlis
Haniza Yazid
Universiti Malaysia Perlis
Khairul Salleh Basaruddin
Universiti Malaysia Perlis
Muhammad Juhairi Aziz Safar
Universiti Malaysia Perlis
Mohd Hanafi Mat Som
Universiti Malaysia Perlis
Khairul Azami Sidek
International Islamic University Malaysia
DOI
10.1088/1742-6596/2641/1/012001
Handle (URI)
https://iopscience.iop.org/article/10.1088/1742-6596/2641/1/012001/pdf
https://iopscience.iop.org/article/10.1088/1742-6596/2641/1/012001
https://iopscience.iop.org/
Abstract
This project explores EasyOCR's performance with Latin characters under image degradation. Variables like character-background intensity difference, Gaussian blur, and relative character size were tested. EasyOCR excels in distinguishing unique lowercase and uppercase characters but tends to favor uppercase for similar shapes like C, S, U, or Z. Results showed that high character-background intensity differences affected OCR output, with confidence scores ranging from 3 % to 80%. Higher differences caused confusion between characters like o and 0, or i and 1. Increased Gaussian blur hindered recognition but improved it for certain letters like v. Image size had a significant impact, with character detection failing as sizes decreased to 40% to 30% of the original. These findings provide insights into EasyOCR's capabilities and limitations with Latin characters under image degradation.
Subjects
  • Image enhancement

File(s)
Analysis of Optical Character Recognition using EasyOCR under Image Degradation.pdf (106.96 KB)
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