Seng, W.C. and Mirisaee, S.H. (2009) A new method for fruits recognition system. In: International Conference on Electrical Engineering and Informatics, AUG 05-07, 2009 , Bangi, MALAYSIA.
Full text not available from this repository.Abstract
Several fruit recognition techniques are developed based upon color and shape attributes. However, different fruit images may have similar or identical color and shape values. Hence, using color features and shape features analysis methods are still not robust and effective enough to identify and distinguish fruits images. A new fruit recognition system has been proposed, which combines three features analysis methods: color-based, shape-based and size-based in order to increase accuracy of recognition. The proposed method classifies and recognizes fruit images based on obtained feature values by using nearest neighbours; classification. Consequently, our system shows the fruit name and a short description to user. The proposed fruit recognition system analysis classifies and identifies fruits successfully up to 90% accuracy. This system also serves as a useful tool in a variety of fields such as education, image retrieval and plantation science.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | Univ Kebangsaan Malaysia, Fac Informat Sci & Technol; Univ Kebangsaan Malaysia, Fac Engn & Built Environm |
| Additional Information: | Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur 50603, Malaysia |
| Uncontrolled Keywords: | Fruit; Recognition; Computer Vision; Feature Extraction |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Mr. Faizal Hamzah |
| Date Deposited: | 01 Dec 2011 01:59 |
| Last Modified: | 29 Dec 2014 07:01 |
| URI: | http://eprints.um.edu.my/id/eprint/2300 |
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