Fruit Recognition System

Nurulhazwani, Jamalludin (2010) Fruit Recognition System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Several fruit recognition techniques are developed based upon colour and shape attributes. However, different fruit images may have similar or identical colour and shape values. Hence using colour and shape features are not effective enough to distinguish and identify fruit images. A new fruit recognition system has been proposed which combines three features analysis methods; colour-based, shape-based, size-based in order to increase the accuracy of recognition. The proposed method will be based on obtained features values in order to classify and recognizes fruit images. To train and test the system, Neural Network Algorithm will be used. All the training and testing session will be done in MATLAB. This system also serve as useful tool in a variety fields such as educational, image retrieval and plantation science.

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