In ordered to get good quality of rice, first the rice must be filtered through certain procedure before machine vision can do its job. Rice quality inspection using naked eyes is inefficient; therefore there are many system and technologies available to do the identification of rice. The rice classification can be classified by many feature of the rice itself such as the physical shape, length, width, color, number of foreign matter, amount of nitrogen [1], moisture content, internal broken and many more [132]. Those features can be detected using technologies that have been already developed such as Vision Builder, Computer image analyses, remote-sensing technology,