WORD RECOGNITION USING NEURAL NETWORK

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DC Field	Value	Language
dc.contributor.author	Kale, Vaishali Govindra	-
dc.date.accessioned	2014-12-09T06:17:53Z	-
dc.date.available	2014-12-09T06:17:53Z	-
dc.date.issued	2003	-
dc.identifier	M.Tech	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/13765	-
dc.guide	Varma, R. K.	-
dc.description.abstract	Word Recognition using Artificial Neural Networks, implemented the back-propagation neural network for developing word recognition software. The goal is to adapt the parameters of the network so that it performs well for patterns from outside the training set. The word recognition software is made using Java2 and efficiently recognizes all alphanumeric characters which the user writes on the screen. The GUI for the software, developed using the Swing features provided in Java2, makes it highly ergonomic and purposeful. The software can also be extended for developing a vehicle number-plate recognition system, Signature Verification system	en_US
dc.language.iso	en	en_US
dc.subject	CDAC	en_US
dc.subject	WORD RECOGNITION	en_US
dc.subject	NEURAL NETWORK	en_US
dc.subject	ARTIFICIAL NEURAL NETWORKS	en_US
dc.title	WORD RECOGNITION USING NEURAL NETWORK	en_US
dc.type	M.Tech Dessertation	en_US
dc.accession.number	G11241	en_US
Appears in Collections:	MASTERS' THESES (C.Dec.)

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