Color recognition algorithm using a neural network model in determining the ripeness of a Banana
Hema, Chengalvarayan Radhakrishnamurthy
R. Pranesh, Krishnan
Siti Sofiah, Mohd Radzi
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This paper presents a simple color recognition algorithm using a Neural Network model and applied to determine the ripeness of a banana. The captured image of the banana is resized and its RGB color components are extracted. The color components of the resized images are rescaled using a simple heuristic method. Further, a histogram for the rescaled image is obtained and used as a feature vector to identify the ripeness of the banana. A simple graphical user interface system is developed in MATLAB that classifies the ripeness of the banana. The proposed model has an accuracy of 96%.