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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/457

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contributor.authorDutta, Saibal-
contributor.authorNanda, P K-
date.accessioned2007-08-23T08:40:17Z-
date.available2007-08-23T08:40:17Z-
date.issued2007-
identifier.citationNational Conference on Intelligent Systems (NCIS-2007) August 24th and 25th 2007, MJCET,Hyderabad.en
identifier.urihttp://hdl.handle.net/2080/457-
descriptionCopyright of this belongs to the Proceedings Publisher.en
description.abstractIn this paper, we propose a Artificial Neural Network(ANN) based scheme for Object recognition.The invariance properties of geometric moments as well as lower order moments corresponding to partially occluded objects are used to train a feedforward ANN. The trained neural network is used to predict the actual moments from the moments of the object with different occlusions. The object is recognized based on the comparison of the actual moments and the predicted moments.en
format.extent89930 bytes-
format.mimetypeapplication/pdf-
language.isoen-
subjectArtificial Neural Network(ANN)en
subjectGeometric Momentsen
titleMoment based Object Recognition using Artificial Neural Networken
typeArticleen
Appears in Collections:Conference Papers

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