Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014
Principal Component Analysis Based Classification Technique for Basmati Rice Grain Analysis
Rubi Kambo, Amit Yerpude
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
Edition: Volume 3 Issue 6, June 2014
Pages: 1764 - 1769
How to Cite this Article?
Rubi Kambo, Amit Yerpude, "Principal Component Analysis Based Classification Technique for Basmati Rice Grain Analysis", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014569, Volume 3 Issue 6, June 2014, 1764 - 1769
28 PDF Views | 29 PDF Downloads
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