A new method for fruits recognition system
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 di...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
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2009
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| author | Seng, W.C. Mirisaee, S.H. |
| author_facet | Seng, W.C. Mirisaee, S.H. |
| author_sort | Seng, W.C. |
| collection | UM |
| description | 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. |
| first_indexed | 2024-03-06T05:07:46Z |
| format | Conference or Workshop Item |
| id | um.eprints-2300 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:07:46Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | um.eprints-23002014-12-29T07:01:02Z http://eprints.um.edu.my/2300/ A new method for fruits recognition system Seng, W.C. Mirisaee, S.H. QA75 Electronic computers. Computer science 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. 2009 Conference or Workshop Item PeerReviewed 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. http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=V1NBDfJepe1pIfMKN6P&page=20&doc=191&cacheurlFromRightClick=no |
| spellingShingle | QA75 Electronic computers. Computer science Seng, W.C. Mirisaee, S.H. A new method for fruits recognition system |
| title | A new method for fruits recognition system |
| title_full | A new method for fruits recognition system |
| title_fullStr | A new method for fruits recognition system |
| title_full_unstemmed | A new method for fruits recognition system |
| title_short | A new method for fruits recognition system |
| title_sort | new method for fruits recognition system |
| topic | QA75 Electronic computers. Computer science |
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