Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/13765
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dc.contributor.authorKale, Vaishali Govindra-
dc.date.accessioned2014-12-09T06:17:53Z-
dc.date.available2014-12-09T06:17:53Z-
dc.date.issued2003-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/13765-
dc.guideVarma, R. K.-
dc.description.abstractWord 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 systemen_US
dc.language.isoenen_US
dc.subjectCDACen_US
dc.subjectWORD RECOGNITIONen_US
dc.subjectNEURAL NETWORKen_US
dc.subjectARTIFICIAL NEURAL NETWORKSen_US
dc.titleWORD RECOGNITION USING NEURAL NETWORKen_US
dc.typeM.Tech Dessertationen_US
dc.accession.numberG11241en_US
Appears in Collections:Dissertation (C.Dec.)

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