Handwritten Character Recognition Using Artificial Neural Network |
Author(s): |
| Vaisakh Anil , Sahrdaya college of engineering and technology ; Twinkle Roy, Sahrdaya College of engineering and technology ; Sonu Sebastian, Sahrdaya college of engineering and technology ; Swapna Shakkeer P, Sahrdaya college of engineering and technology ; Stephy Paul, Sahrdaya college of engineering and technology |
Keywords: |
| Neural Network, Back Propagation Method Segmentation, Image Processing Toolbox, Matlab |
Abstract |
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In the present paper, we are use the artificial 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. Pre-processing of the Character is used Binarization, thresholding 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 numerical letter is represented by binary numbers that are used as input then they are fed to an ANN. Artificial Neural network followed by the Back Propagation Algorithm which compromises Training. |
Other Details |
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Paper ID: IJSRDV7I30340 Published in: Volume : 7, Issue : 3 Publication Date: 01/06/2019 Page(s): 366-369 |
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