Classification of Rice Based on Morphological and Colour Analysis Using Image Processing

Abstract

In the food industry there are various foodstuffs in the form of grains. Of particular importance is rice; rice constitutes them world’s principal source of food, being the basic grain for the planet’s largest population. Varieties of rice grain are subtly different in size, color, shape and texture. Fraudulent labeling of one variety as another is major concern in the food industry. The classification of rice based on the morphological and color features by human inspector is laborious, inconsistent and highly subjective. In the present work a digital imaging approach has been devised to perform the morphological and color analysis. And to classify the rice into various categories based on the features like length, breadth, L/B ratio as well as on the bases of color characteristics i.e. hue, saturation and intensity component of each rice in an inexpensive manner using flatbed scanner which is economical and independent of external light conditions.