—This paper presents an object recognition and identification system using the Hough Transform method. The process starts from imported images into the system by webcam, detected image edge by fuzzy, recognized the object by Hough Transform, and separated the objects by the robot arm. Three objects type; triangle, rectangular and, rigid circle are used. The results showed that the objects can be isolated 96%, 96%, and 98% correct for triangular, rectangular, and rigid circle respectively.
Index Terms—Hough transform, modifier fuzzy sobel, object recognition
The authors are with with King Mongkut's University of Technology North Bangkok, Bangkok, Thailand (e-mail: firstname.lastname@example.org, email@example.com)
Cite: Jaruwan Toontham and Chaiyapon Thongchaisuratkrul, "An Object Recognition and Identification System Using the Hough Transform Method," International Journal of Information and Electronics Engineering vol. 3, no. 1, pp. 87-90, 2013.