Principal Component Analysis Based Classification Technique for Basmati Rice Grain Analysis

Rubi Kambo, Amit Yerpude

Abstract: Different quality and variety of basmati rice available in market; which classification is done on the basis of size and texture features. This paper proposed a new method based on component analysis over extracted shape features of rice granule sample. This method is used for the classification of different variety of Daawat Rozana Basmati rice Gini; Mini and Tini by using a dimensionality reduction and classifier approach. The Experimental result shows the effectiveness of this method for different variety of Daawat basmati rice.

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

How to Cite?: Rubi Kambo, Amit Yerpude, "Principal Component Analysis Based Classification Technique for Basmati Rice Grain Analysis", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 1764-1769, https://www.ijsr.net/getabstract.php?paperid=2014569, DOI: https://dx.doi.org/10.21275/2014569