Abstract
To classify hulled rices into 5 categories, neural network was applied which adopted voronoi diagram and clustering procedure in order to make input teachers learn correctly and efficiently. Parameters of graphic information of hulled rices were used for the classification. They were extracted through a regression analysis for color tone distribution putting 3 primary colors of pixels in ascending order and a statistical analysis for brightness distribution. The accuracy of the classification about 70% was obtained.
