AUTHENTICATION OF RICE BY 3-SIDED IMAGE-ANALYSIS OF KERNELS USING 2 MIRRORS

The authentication of rice by imaging three sides (top, side, and fron t) of a rice kernel using two mirrors was attempted. Nine image charac teristics (area, aspect ratio, minimum diameter, maximum diameter, per imeter, and red, green, and blue values) for each side of a rice kerne l were measured. Japonica type rices were used for the study; a total of 89 rice samples were used: 40 samples harvested in Korea, 33 in Ame rica, 5 in Australia, and 11 in China. Image data collected from 105 k ernels per rice sample were used as a calibration data set to develop a model for quadratic discriminant analysis. In overall pairwise trial s, on average, 85.8-94.5% correct identification of the cultivated cou ntry was obtained, depending on the number of image characteristics us ed for the discriminant model. For the effective discrimination of the cultivated country, 13 image characteristics were selected. As a test sample set, 20 kernels per sample were used. A model for discriminant analysis with 13 image characteristics yielded an average of 95.0 and 97.5% accuracy for calibration and test sample set, respectively.