• Jul 29, 2019 News!IJMLC Had Implemented Online Submission System, Please Sumbit New Submissions thorough This System Only!   [Click]
  • Jul 16, 2019 News!Good News! All papers from Volume 9, Number 3 have been indexed by Scopus!   [Click]
  • Jul 08, 2019 News!Vol.9, No.4 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.

IJMLC 2018 Vol.8(4): 341-344 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2018.8.4.709

Development of High Data Capacity Color Code

K. S. Sim, Z. Y. Lim, and F. F. Ting
Abstract—This paper presents the implementation of high data capacity code by embedding multiple colors into the code. The main intention of this project is to implement a code that consists at least double the data capacity as compared to the present Quick Response (QR) code. This paper explains the elements that consist in the proposed high data capacity code layout. The high data capacity code utilizes color multiplexing technique to represent data by using 8 kinds of colors. The colors involved are three primary colors, three secondary colors, black and white. Besides, the code is embedded with same error correction algorithm as QR code namely Reed Solomon Error Correction. In this project, a decoder application is developed on personal computer to decode the information from the camera-captured code. The results show that the developed decoder software is capable to perform decoding without any error within the captured range of 7 cm to 15 cm. Since the developed second prototype consist of similar number of module with QR Version 8, the performance is assessed to compare with QR Version 8. As outcome of this project, the developed high data capacity code is to achieve more than doubles the data capacity of QR code Version 8.

Index Terms—High, data, capacity, color, code.

The authors are with the Faculty of Engineering and Technology, Multimedia University, Malaysia (e-mail: kssim@mmu.edu.my, limzhengyou@gmail.com, sicily.ting@gmail.com).


Cite: K. S. Sim, Z. Y. Lim, and F. F. Ting, "Development of High Data Capacity Color Code," International Journal of Machine Learning and Computing vol. 8, no. 4, pp. 341-344, 2018.

Copyright © 2008-2019. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net