Overview

Original Research

STUDENT MEDICAL CERTIFICATE VALIDATION USING OPTICAL CHARACTER RECOGNITION

MUHAMMAD AMIRUL ZAQWAN ABDUL RAHMAN, NUZULHA KHILWANI IBRAHIM, NOORAYISAHBE MOHD YAACOB, MOHAMED DOHEIR, ABD SAMAD HASAN BASARI

Vol 16, No 11 ( 2021 )   |  DOI: 10.5281/zenodo.6553561   |   Author Affiliation: Center for Advanced Computing Technology(C-ACT), Fakulti Teknologi Maklumat dan Komunikasi Universiti Teknikal Malaysia Melaka, 76100 Durian Tunggal, Melaka, Malaysia; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM) P.O. Box 101, 86400 Parit Raja, Batu Pahat, Johor Darul Takzim, Malaysia   |   Licensing: CC 4.0   |   Pg no: 15-27   |   Published on: 10-11-2021

Abstract

A student medical certificate validation is developed in web-based application. Based on the problem statement, medical certificate is university used to as a record that a student unable to attend to a class. It is simply too easy to obtain a sick certificate and to stay off class. Forged medical certificate has been used by students to absent their class. However, due to lack of integrity among the citizens, people tend to purchase or create forged medical certificates from various website that offers these documents. The objectives of this project are to study the optical character recognition (OCR) technology and document authentication process, and to validate the functionality of the system. The OCR technology method is applied in this project for performing an easy way to check the verification of a medical certificate. The method that have been used is for encode the information data to protect the data from being forge. Thus, the lecturer can verify the medical certificate by using web-based application to get the real information from it.

Keywords

Optical Character Recognition (OCR), Image Processing, Student Leave, Medical Certificate, Open Computer Vision Library (OpenCV)