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General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net
Editor-in-chief

 
University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, The value of IJIEE will be well recognized among the readers in the related field."

IJIEE 2013 Vol.3(3): 292-295 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2013.V3.320

An Object Recognition and Identification System Using the Hough Transform Method

Jaruwan Toontham and Chaiyapon Thongchaisuratkrul
Abstract—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 King Mongkut's University of Technology North Bangkok, Bangkok, Thailand (e-mail: nudiddl@hotmail.com, srp@kmutnb.ac.th).

[PDF]

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. 3, pp. 292-295, 2013.

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