Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/11506
Title: | Character Recognition Using Neural Network |
Authors: | Chaudhary, Dipti R. |
Keywords: | IC 2011 Project Report 2011 IC Project Report Project Report 11MIC 11MICC 11MICC02 Control & Automation Control & Automation 2011 IC (Control & Automation) |
Issue Date: | 1-Jun-2013 |
Publisher: | Institute of Technology |
Series/Report no.: | 11MICC02 |
Abstract: | A method for recognizing handwritten characters using neural network is proposed. It is developed for the isolated handwritten English character (a to z , A to Z and 0 to 9). This method improves the character recognition over old methods which are based on cross correlation. Preprocessing of the Character is done by binarization, thresolding and segmentation method. The ANN is trained using the Back Propagation algorithm. In the proposed method, English Characters are represented by binary numbers that are used as input and then these are fed to an ANN. Training of system is done by using different data set and then system is tested for new samples and accuracy is measured. |
URI: | http://10.1.7.181:1900/jspui/123456789/4030 http://10.1.7.192:80/jspui/handle/123456789/11506 |
Appears in Collections: | Dissertations, E&I |
Files in This Item:
File | Description | Size | Format | |
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11MICC02.pdf | 11MICC02 | 2.75 MB | Adobe PDF | ![]() View/Open |
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