The aim of this paper is to suggest algorithm for
quality analysis of Indian Basmati Rice using image
processing techniques. With the help of this algorithm, an
automated software system can be made to avoid the human
inspection and related drawbacks. Convenient software tools
compatible with hardware platform can be selected. Analysis
and Classification of rice is done visually and manually by
human inspectors. The decisions taken by human inspectors
may be affected by external factors like tiredness, bias,
revenge or human psychological limitations. We can overcome
this by using image processing techniques. Digital Image
processing can classify the rice grain with speed and accuracy.
Here we discuss the different parameters used for analysis of
rice grains and how algorithm can be used to measure and
compare them with accepted standards.