Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11655
Title: Character Recognition Using Neural Network
Authors: Sharma, Ankit
Chaudhary, Dipti R.
Keywords: Neural Network
Back Propagation Method Segmentation
Image Processing Toolbox
Matlab
IC Faculty Paper
Faculty Paper
ITFIC016
Issue Date: Apr-2013
Publisher: ijettjournal.org
Series/Report no.: ITFIC016-3
Abstract: In 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.
Description: International Journal of Engineering Trends and Technology (IJETT), Vol. 4 (4), April, 2013, Page No. 662 – 667
URI: http://10.1.7.181:1900/jspui/123456789/4379
http://10.1.7.192:80/jspui/handle/123456789/11655
ISSN: 2231-5381
Appears in Collections:Faculty Papers, E&I

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