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

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


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. 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.

[1] Chetan V.Maheshwari, "Machine Vision Technology for Oryza Sativa L.(RICE)," IJAREEIE, vol. 2, no. 7, pp. 2893-2900, july 2013.
[2] Chetan V.Maheshwari, "Quality Assesment of ORYZA SATIVA SSP INDICA (Rice)using computer vision," IJIRCCE, vol. 1, no. 4, pp. 1107-1115, june 2013.
[3] D.Swain ,Sanjukta Das,S.G.Sharma & O.N.Singh H.N.Subudhi, "Studies on Grain Yield,Physico-Chemical and Cooking Characters of Elite Rice Varieties(Oryza Sativa.L)in Eastern India," Journal of Agriculture Science, vol. 4, no. 12, pp. 269-275, 2012.
[4] Sachin Patel Bhavesh B.Prajapati, "Classification of Indian Basmati Rice using Digital Image Processing As per Indian Export Rules," International Research Jornal of Computer Science Engineering and Application, vol. 2, no. 1, pp. 234-237, january 2013.
[5] Sachin Patel Bhavesh B.Prajapati, "Algorithmic approach to quality analysis of Indian Basmati Rice using Digital Image Processing," IJETAE (ISSN 2250-2459,ISO 90001:2008certified journal), vol. 3, no. 3, pp. 503-504, March 2013.
[6] Yaduvir singh and sweta tripathi Pramod kumar pandey, "Image Processing using Principal Component Analysis," International Journal Of Computer Application (0975-8887), vol. 15, no. 4, pp. 37-40, february 2011.
[7] Abhishek Banerjee, "Impact of Principal component analysis in the application of image processing," IJARCSSE(ISSN: 2277 128X), vol. 2, no. 1, January 2012.
[8] V.K.Banga Jagdeep singh Aulakh, "Percentage Purity of Rice Samples by Image Processing," in International conference on Trends in Electrical ,Electronics and Power Engineering(ICTEEP 2012), Singapore, july 15-16,2012, pp. 102-104.
[9] Mrs.Uzma Ansari sanjivani shantaiya, "Identification of Food grains and its quality using pattern clasification," vol. 2 , no. 2,3,4, pp. 70-73, december 2010.
[10] Abirami.S,Vishnu Priya.K,Rubalya Valantina.S. Neelamegam.P, "Analysis Of rice granules using Image Processing and Neural Network," in IEEE conference on Information and Communication Technologies(ICT2013), 2013, pp. 879-884.
[11] M.Shahid Naweed ,M NAdim Asif and S.Irfan Hyder Imran S.Bajwa, "Feature based Image Classification by using Principal Component Analysis," CIST-journal of Graphica,vision and image processing.
[12] Kavindra R.jain,Chintan K.Modi Chetan v.Maheshwari, "Non Destructive Quality Analysis of India Gujrat-17 ORYZA SATIVA SSP INDICA(Rice)using Image Processing," IJCES ISSN:22550:3439, vol. 2, no. 3, pp. 48-54, march 2012.
[13] B.Karthikeyan R.Yogamangalam, "Segmentation Technique Comparision in Image Processing," IJET(ISSN :0975-4024), vol. 5, no. 1, pp. 307-313, feb-march 2013.
[14] Gurpreet Singh,Amandeep Kaur Pooja Sharma, "Different Technique Of Edge Detection In Digital Image Processing," IJERA(ISSN:2248-9622), vol. 3, no. 3, pp. 458-461, May-Jun 2013.
[15] G.Kishorebabu,K.sujatha M.Kalpana, "Extraction of Edge Detection using Image Processing Technique," IJCER, vol. 2, no. 5, pp. 1562-1566, september 2012.
[16] Dr.M.Siddappa Harish S Gujjar, "Amethod for identification of rice grainn of india and its quality using pattern classification," IJERA ISSN:2248-9622, vol. 3, no. 1, pp. 268-273, january-february 2013.
[17] Dayanand SAVAKAR, "Recognition and Classification of similar looking food grain images using Artificial Neural Networks," Journal of Applied computer Science & Mathematics , no. 13, pp. 61-65, June 2012.
[18] Chathurika sewwandi silva and upul sonnadara, "Classifiction Of Rice Grain Using Neural Network," in Proceeding of Technical session , SriLanka, 2013, pp. 9-14.
[19] R.M.Carter,Y.yan D.M.Hobson, "Characterisation and Identification of Rice Grains through Digital Image Analysis," in Technology Conference-IMTC, warsaw,Poland, 2007, pp. 1-5.

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