Character Recognition Using Neural Network

Ankit Sharma; Dipti R Chaudhary

doi:https://doi.org/10.14445/22315381/IJETT-V4I4P230

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Volume 4 | Issue 4 | Year 2013 | Article Id. IJETT-V4I4P230 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I4P230

Character Recognition Using Neural Network

Ankit Sharma , Dipti R Chaudhary

Citation :

Ankit Sharma , Dipti R Chaudhary, "Character Recognition Using Neural Network," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 4, pp. 662-667, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I4P230

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 tra ined 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.

Keywords

Neural network , back propagation method Segmentation, image processing tool box ,matlab .

References

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