Recognition and Classification of Similar Looking Food Grain Images using Artificial Neural Networks

Recognition and Classification of Similar Looking Food Grain Images using Artificial Neural Networks

This paper presents an recognition and classification of similar looking food grain images using artificial neural networks. Schemes for visual classification usually proceed in two stages. First, features are extracted which represents the image and Second, a classifier is applied to the extracted...

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Bibliographic Details
Main Author: Dayanand SAVAKAR
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2012-01-01
Series:Journal of Applied Computer Science & Mathematics
Subjects:
Similar Looking Food Grain Images
Feature Extraction
Artificial Neural Networks
Online Access:http://jacs.usv.ro/getpdf.php?paperid=13_9

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