Computer Vision Based Barcode Reader For Halal JAKIM Verification System

Mohd Nizar, Zainun (2014) Computer Vision Based Barcode Reader For Halal JAKIM Verification System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Computer Vision Based Barcode Reader For Halal JAKIM Verification System 24 Pages.pdf - Submitted Version Download (148kB)

Abstract

At present, many people are looking for applications that can facilitate and launch their daily life. The industry technology began to pay more attention to barcode application for domestic users need. This thesis describes an android application for Muslims to identify the Halal Status (prepared in accordance to Islamic law) of the product. The barcode images is need for preprocessing in order to extract the barcode into the database and also barcode recognition process. A Computer Vision Based Barcode Reader For Halal Jakim Verification System is a low cost barcode reader, which is develop by using Android developer. Barcode are a class of the simplest printed patterns that can be reliably recognize by a computer vision or an any operating system. These codes consist of sequence of parallel, light and dark stripes printed on papers. This is a real time application that requires high processing time. This is the main reason for using the language JAVA for the development this project.The objective is supported by several sub-objectives, namely to gain knowledge of Java Eclipse, Android versions and able the development of an algorithm for Smartphone on Android. This project consists of analysis, scematic design, system development and testing. The purpose is to determine the basic flow and system testing of the barcode scanner. The halal jakim database is also develop in this system. In conclusion, a new system for Halal status checking was develop for new android application.

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