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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Fruit Recognition using Color and Texture Features

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Author S.Arivazhagan, R.Newlin Shebiah, S.Selva Nidhyanandhan, L.Ganesan
ISSN 2079-8407
On Pages 90-94
Volume No. 1
Issue No. 2
Issue Date October 1, 2010
Publishing Date October 1, 2010
Keywords Fruit Recognition, Texture, Wavelet Transform, Co-occurrence Features


Abstract

The computer vision strategies used to recognize a fruit rely on four basic features which characterize the object: intensity, color, shape and texture. This paper proposes an efficient fusion of color and texture features for fruit recognition. The recognition is done by the minimum distance classifier based upon the statistical and co-occurrence features derived from the Wavelet transformed sub- bands. Experimental results on a database of about 2635 fruits from 15 different classes confirm the effectiveness of the proposed approach.


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