Quality Recognition of Banana Images using Classifiers

This research essence on banana images classification. Initially the researcher collects banana images (French Plantain is called as Nendran) and constructs the dataset. Gray Level Concurrence Matrix is used to features from image. Then classification algorithms such as Decision Tree and Neural Networks are used to group the images according to its quality. These algorithms are executed on MATLAB and Decision Tree and Neural Networks produced 71% and 75.67% of accuracy respectively.