Salehudin, M. A. M. and Basah, Shafriza Nisha and Yazid, Haniza and Safar, Muhammad Juhairi Aziz and Mat Som, Mohd Hanafi and Sidek, Khairul Azami
(2023)
Analysis of Optical Character Recognition using EasyOCR under Image Degradation.
In: 8th International Conference on Man Machine Systems 2023, 4-5 September 2023, Arau, Perlis.
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.
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