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dc.contributor.authorPaulraj, Murugesapandian
dc.contributor.authorHema, Chengalvarayan Radhakrishnamurthy
dc.contributor.authorR. Pranesh, Krishnan
dc.contributor.authorSiti Sofiah, Mohd Radzi
dc.date.accessioned2009-11-17T03:35:42Z
dc.date.available2009-11-17T03:35:42Z
dc.date.issued2009-10-11
dc.identifier.citationp.2B7 1 - 2B7 4en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7305
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractThis 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%.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectColor recognitionen_US
dc.subjectNeural networken_US
dc.subjectRGBen_US
dc.subjectHistogramen_US
dc.subjectRipeness of Bananaen_US
dc.subjectNeural networks (Computer science)en_US
dc.subjectImage processingen_US
dc.titleColor recognition algorithm using a neural network model in determining the ripeness of a Bananaen_US
dc.typeWorking Paperen_US
dc.contributor.urlpaul@unimap.edu.myen_US


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