Abstract
This study presents an image processing procedure to identify two different classes and types of fruits. The proposed method recognizes fruits by extracting two features (color and shape) based upon the training dataset analysis. In this study, an image processing method has been done using Canny Edge Detection (CED) algorithm to identify and sort the fruits. In addition to that modified Canny Edge Detection (MCED) algorithm is proposed to develop a fruit recognition method using color and shape of the fruits. In this work, only two different types of fruits (i.e. apples and oranges) are chosen for the experiment. At the end of this study, a comparative study has been shown to evaluate the performance of CED algorithm and MCED algorithm based on the training dataset.
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