Object detection using geometric invariant moment
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 identif...
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| Format: | Article |
| Language: | en |
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Science Publications
2006
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| Online Access: | http://eprints.utm.my/8404/1/8404.pdf http://eprints.utm.my/8404/ http://www.scipub.org/fulltext/ajas/ajas361876-1878.pdf |
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| _version_ | 1845471999874301952 |
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| author | Saad, Puteh Rizon, Mohamad Yazid, Haniza Md. Shakaff, Ali Yeon Saad, Abdul Rahman Sugisaka, Masanori Yaacob, Sazali Desa, Hazri Karthigayan, M. |
| author_facet | Saad, Puteh Rizon, Mohamad Yazid, Haniza Md. Shakaff, Ali Yeon Saad, Abdul Rahman Sugisaka, Masanori Yaacob, Sazali Desa, Hazri Karthigayan, M. |
| author_sort | Saad, Puteh |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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 |
| format | Article |
| id | my.utm.eprints-8404 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2006 |
| publisher | Science Publications |
| record_format | eprints |
| spelling | my.utm.eprints-84042010-10-13T02:08:17Z http://eprints.utm.my/8404/ Object detection using geometric invariant moment Saad, Puteh Rizon, Mohamad Yazid, Haniza Md. Shakaff, Ali Yeon Saad, Abdul Rahman Sugisaka, Masanori Yaacob, Sazali Desa, Hazri Karthigayan, M. QA75 Electronic computers. Computer science 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 Science Publications 2006 Article PeerReviewed application/pdf en http://eprints.utm.my/8404/1/8404.pdf Saad, Puteh and Rizon, Mohamad and Yazid, Haniza and Md. Shakaff, Ali Yeon and Saad, Abdul Rahman and Sugisaka, Masanori and Yaacob, Sazali and Desa, Hazri and Karthigayan, M. (2006) Object detection using geometric invariant moment. American Journal of Applied Sciences, 3 (6). pp. 1876-1878. ISSN 1546-9239 http://www.scipub.org/fulltext/ajas/ajas361876-1878.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Saad, Puteh Rizon, Mohamad Yazid, Haniza Md. Shakaff, Ali Yeon Saad, Abdul Rahman Sugisaka, Masanori Yaacob, Sazali Desa, Hazri Karthigayan, M. Object detection using geometric invariant moment |
| title | Object detection using geometric invariant moment |
| title_full | Object detection using geometric invariant moment |
| title_fullStr | Object detection using geometric invariant moment |
| title_full_unstemmed | Object detection using geometric invariant moment |
| title_short | Object detection using geometric invariant moment |
| title_sort | object detection using geometric invariant moment |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/8404/1/8404.pdf http://eprints.utm.my/8404/ http://www.scipub.org/fulltext/ajas/ajas361876-1878.pdf |
| url_provider | http://eprints.utm.my/ |