A new method for fruits recognition system

Seng, W.C.; 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. (Request a copy)


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)
  1. Seng, W.C.(University of Malaya)
  2. Mirisaee, S.H.(University of Malaya)
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 09:59
Last Modified: 29 Dec 2014 15:01
URI: http://eprints.um.edu.my/id/eprint/2300

Actions (For repository staff only: Login required)

View Item