Moment based Object Recognition using Artificial Neural Network

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

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DC Field	Value	Language
dc.contributor.author	Dutta, Saibal	-
dc.contributor.author	Nanda, P K	-
dc.date.accessioned	2007-08-23T08:40:17Z	-
dc.date.available	2007-08-23T08:40:17Z	-
dc.date.issued	2007	-
dc.identifier.citation	National Conference on Intelligent Systems (NCIS-2007) August 24th and 25th 2007, MJCET,Hyderabad.	en
dc.identifier.uri	http://hdl.handle.net/2080/457	-
dc.description	Copyright of this belongs to the Proceedings Publisher.	en
dc.description.abstract	In 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
dc.format.extent	89930 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.subject	Artificial Neural Network(ANN)	en
dc.subject	Geometric Moments	en
dc.title	Moment based Object Recognition using Artificial Neural Network	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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