doi: 10.7763/IJMLC.2012.V2.168
An Object Recognition and Identification System Using the Harris Corner Detection Method
T. Kitti1,2
,
T. Jaruwan1 ,
T.Chaiyapon2
- 1Rajamangala University of TechnologyISAN Khonkaen, Thailand.
- 2King Mongkut's University of Technology North Bangkok, Thailand.
Abstract
This paper presents an object recognition and identification system using the Harris Corner Detection method. The process starts from imported images into the system by webcam, detected image edge by canny edge detection, recognized the object by Harris Corner Detection, and separated the objects by the robot arm. Three object types; triangle, rectangular and, rigid circle are used. The results showed that the objects can be isolated 94%, 95%, and 99% correct for triangular, rectangular, and rigid circle respectively.
Keywords
- Harris Corner Detection
- canny edge detection
- object recognition
How to Cite
T. Kitti, T. Jaruwan, and T.Chaiyapon, "An Object Recognition and Identification System Using the Harris Corner Detection Method," International Journal of Machine Learning, vol. 2, no. 4, pp. 462-465, 2012. https://doi.org/10.7763/IJMLC.2012.V2.168
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).