A new method for fruits recognition system
Document Type
Conference Item
Publication Date
1-1-2009
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.
Keywords
Fruit, Recognition, Computer Vision, Feature Extraction
Divisions
fsktm
Funders
Univ Kebangsaan Malaysia, Fac Informat Sci & Technol; Univ Kebangsaan Malaysia, Fac Engn & Built Environm
Event Title
International Conference on Electrical Engineering and Informatics
Event Location
Bangi, MALAYSIA
Event Dates
AUG 05-07, 2009
Event Type
conference
Additional Information
Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur 50603, Malaysia