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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/11347

Title: Object detection using geometric invariant moment
Authors: Mohamed Rizon
Haniza, Yazid
Puteh, Saad
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Rahman, Saad
Mohd Rozailan, Mamat
Sazali, Yaacob, Prof. Dr.
Hazri, Desa, Dr.
Karthigayan, M.
Keywords: Geometric invariant moment;Object detection;Geometric Moment (GM)
Issue Date: 2006
Publisher: Science Publications
Citation: American Journal of Applied Sciences, vol. 3(6), 2006, pages 1876-1878
Abstract: Geometric moment invariant produces a set of feature vectors that are invariant under shifting, scaling and rotation. The technique is widely used to extract the global features for pattern recognition due to its discrimination power and robustness. In this paper, moment invariant is used to identify the object from the captured image using the first invariant (Ø1). The recognition rate for this technique is 90% after the image undergoes suitable processing and segmentation process.
Description: Link to publisher's homepage at http://www.scipub.org/
URI: http://www.scipub.org/fulltext/ajas/ajas361876-1878.pdf
http://hdl.handle.net/123456789/11347
ISSN: 1546-9239
Appears in Collections:Haniza Yazid, Dr.
School of Computer and Communication Engineering (Articles)
Sazali Yaacob, Prof. Dr.
Ali Yeon, Md Shakaff, Prof. Dr.

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