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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/dspace/handle/123456789/7305

Title: Color recognition algorithm using a neural network model in determining the ripeness of a Banana
Authors: Paulraj, Murugesapandian
Hema, Chengalvarayan Radhakrishnamurthy
R. Pranesh, Krishnan
Siti Sofiah, Mohd Radzi
???metadata.dc.contributor.url???: paul@unimap.edu.my
Keywords: Color recognition;Neural network;RGB;Histogram;Ripeness of Banana;Neural networks (Computer science);Image processing
Issue Date: 11-Oct-2009
Publisher: Universiti Malaysia Perlis
Citation: p.2B7 1 - 2B7 4
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)
Abstract: This paper presents a simple color recognition algorithm using a Neural Network model and applied to determine the ripeness of a banana. The captured image of the banana is resized and its RGB color components are extracted. The color components of the resized images are rescaled using a simple heuristic method. Further, a histogram for the rescaled image is obtained and used as a feature vector to identify the ripeness of the banana. A simple graphical user interface system is developed in MATLAB that classifies the ripeness of the banana. The proposed model has an accuracy of 96%.
Description: Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/7305
Appears in Collections:Paulraj Murugesa Pandiyan, Prof. Dr.
Conference Papers

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