Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11655
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dc.contributor.authorSharma, Ankit
dc.contributor.authorChaudhary, Dipti R.
dc.date.accessioned2023-04-20T11:06:39Z-
dc.date.available2023-04-20T11:06:39Z-
dc.date.issued2013-04
dc.identifier.issn2231-5381
dc.identifier.urihttp://10.1.7.181:1900/jspui/123456789/4379
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11655-
dc.descriptionInternational Journal of Engineering Trends and Technology (IJETT), Vol. 4 (4), April, 2013, Page No. 662 – 667en_US
dc.description.abstractIn the present paper, we are use the neural network to recognize the character. In this paper it is developed 0ff-line strategies for the isolated handwritten English character (A TO Z) and (0 to 9) .This method improves the character recognition method. Preprocessing of the Character is used binarization, thresolding and segmentation method .The proposed method is based on the use of feed forward back propagation method to classify the characters. The ANN is trained using the Back Propagation algorithm. In the proposed system, English nue-merical letter is represented by binary numbers that are used as input then they are fed to an ANN. Neural network followed by the Back Propagation Algorithm which compromises Training.en_US
dc.publisherijettjournal.orgen_US
dc.relation.ispartofseriesITFIC016-3en_US
dc.subjectNeural Networken_US
dc.subjectBack Propagation Method Segmentationen_US
dc.subjectImage Processing Toolboxen_US
dc.subjectMatlaben_US
dc.subjectIC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFIC016en_US
dc.titleCharacter Recognition Using Neural Networken_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, E&I

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