Classification of Immature and Mature Coffee Beans Using Texture Features and Medium K Nearest Neighbor

Abstract

In this study , texture features namely entropy, contrast, energy and homogeneity were extracted from mature and immature coffee beans using image processing and the values were inputted to MATLAB’s Classification Learner App for discrimination. Among the 23 machine learning algorithms the best performance was achieved by medium K nearest neighbor which has 97 % accuracy and 0.14574 seconds in speed. When compared to previous studies that used RGB and HSV color features to differentiate mature and immature coffee beans, it can be concluded that texture features are far superior in distinguishing the two coffee bean groups.