Recognition of Roasted Coffee Bean Levels using Image Processing and Neural Network

[摘要] The coffee beans roast levels have some characteristics. However, some people cannot recognize the coffee beans roast level. In this research, we propose to design a method to recognize the coffee beans roast level of images digital by processing the image and classifying with backpropagation neural network. The steps consist of how to collect the images data with image acquisition, pre-processing, feature extraction using Gray Level Co-occurrence Matrix (GLCM) method and finally normalization of data extraction using decimal scaling features. The values of decimal scaling features become an input of classifying in backpropagation neural network. We use the method of backpropagation to recognize the coffee beans roast levels. The results showed that the proposed method is able to identify the coffee roasts beans level with an accuracy of 97.5%.

[发布机构] Department of Electrical Engineering, University of Sumatera Utara, Medan, Indonesia^1;Department of Information Technology, University of Sumatera Utara, Medan, Indonesia^2

[效力级别] 自然科学

[关键词] Back propagation neural networks;Coffee beans;Data extraction;Gray level co occurrence matrix(GLCM);Pre-processing;Roasted coffee