Effective Classification Using Artificial Bee Colony Based Feature Selector

Authors

  • S.H. Hassan Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan Sarawak.
  • N. Yusup Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan Sarawak.
  • D.N.F. Awang Iskandar Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300, Kota Samarahan Sarawak.

Keywords:

Artificial Bee Colony, Image Processing, Classification Technique, Feature Selection,

Abstract

Pepper classification is an important step in measuring the quality of the pepper. As of today, Malaysia Pepper Board (MPB) performed its classification task by doing a semi-automated process; where a commercial colour sorter is used to differentiate and categorized the peppers into respective groups. However, it is proven to be a challenging and time consuming process This paper introduces an effective pepper classification by applying a feature selection method in Artificial Bee Colony (ABC) algorithm. ABC algorithm is a metaheuristic algorithm inspired by the collective behavior of bees, which has been used successfully to solve complex problems of optimization. From this study, the proposed ABC algorithm that incorporates feature selection method resulted an accuracy of 92% tested with a small sample size. Meanwhile, 89.7% of accuracy was obtained with a larger sample size and a set of Red Mean; Green Median; Red Standard Deviation; Solidity Ratio; and Contrast were chosen as the best optimal features' subset.

Downloads

Published

2017-12-07

How to Cite

Hassan, S., Yusup, N., & Awang Iskandar, D. (2017). Effective Classification Using Artificial Bee Colony Based Feature Selector. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-11), 115–120. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3194

Issue

Vol. 9 No. 3-11: Computing Technology Towards A Sustainable Society

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.