The evelopment of RoV competition results management system through data extraction from images using optical character recognition

Abstract

The purposes of this research were: 1) to analyze and design RoV competition results management system through data extraction from images using optical character recognition; 2) to develop RoV competition results management system through data extraction from images using optical character recognition; and 3) to study the level of user satisfaction toward RoV competition results management system through data extraction from images using optical character recognition. The program used for development was Visual Studio Code. The programming languages included Python, HTML, CSS, and JavaScript. MySQL was used as the database, and Pytesseract was employed as the OCR tool for extracting data from images.

The developed system enables authorized personnel to log in and efficiently manage data related to schools participating in the competition, teams, team members, heroes selected for matches, competition details, rules and regulations, and match schedules. The system also offers reporting capabilities, including reports on participating schools, teams, team members, match outcomes, comparative performance of players in the same position, and hero win rates. The administrators reported a high level of satisfaction with RoV competition results management system through data extraction from images using optical character recognition. The overall satisfaction score was 4.06, with a standard deviation of 0.85. And the result for extracting the competition data from images by using optical character recognition  has the average inaccurate scores of players equal to 4.80% and the average scores of inaccurate marks equal to 0.04%