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http://hdl.handle.net/123456789/11347
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| 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: | Sazali Yaacob, Prof. Dr.
Ali Yeon, Md Shakaff, Prof. Dr.
School of Computer and Communication Engineering (Articles)
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