Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2014 by IJCTT Journal
Volume-11 Number-2
Year of Publication : 2014
Authors : Rubi Kambo , Amit Yerpude
DOI :  10.14445/22312803/IJCTT-V11P117

MLA

Rubi Kambo , Amit Yerpude."Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis". International Journal of Computer Trends and Technology (IJCTT) V11(2):80-85, May 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
All important decisions about the variety of rice grain end product are based on the different features of rice grain. There are various methods available for classification of basmati rice. This paper proposed a new principal component analysis based approach for classification of different variety of basmati rice. The experimental result shows the effectiveness of the proposed methodology for various samples of different variety of basmati rice.

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Keywords
Image pre-processing, Principal Component Analysis, Feature extraction.