DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-3, issue-4, Spl. Iss-4 ( Oct, 2015 ) | |||||||||
Paper Title |
Texture-Based Estimation Technique For An Object | |||||||||
Author Name |
Soniya C. Govekar, Sufola Araujo | |||||||||
Affilition |
ME Student, Assistant Professor, Padre Conceicao College Of Engineering- Verna –Goa-India | |||||||||
Pages |
164-166 | |||||||||
Abstract |
Fruit Recognition techniques have been developed based on color, shape, size attributes. But many of the fruit images may have similar or identical color, shape, size values. Therefore using only these few features of color, shape and size would be not sufficient and effective enough to identify and distinguish the fruit images. Hence a new fruit recognition system is been proposed which will combine shape, color, size, texture and intensity to increase accuracy of recognition. Index Terms—Fruit Recognition, Texture, Wavelet Transform, Co-occurrence Features, k nearest neighbor, color, SVM. | |||||||||
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