Character Recognition Using Neural Network

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-4                       
Year of Publication : 2013
Authors : Ankit Sharma , Dipti R Chaudhary


Ankit Sharma , Dipti R Chaudhary. "Character Recognition Using Neural Network". International Journal of Engineering Trends and Technology (IJETT). V4(4):662-667 Apr 2013. ISSN:2231-5381. published by seventh sense research group


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.


[1] . Hand printed Symbol Recognition System, Ptrttern Recognition, Vol. 21 No.2, pp. 91 - 118, I988
[2] . Rosenfeld,A. and Kak, A.C., Digital Image Processing , Academic Press Inc., 2nd. Ed., 1993 Simon,
[3] . C - L. Liu and K. Marukawa, “Normalization Ensemble for Handwritten Character Recognition”, The Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR 9) , Tokyo, Japan, pp. 69 - 74, 2004.
[4] I. D. Jackel, A neural network approach to handprint character recognition, IEEE Trans. PAMI, 1991.
[5] Richard Buse, Zhi - Qiang Liu and Jim Bezdek, Word Recognition using Fuzzy Logic, IEEE Trans. on Fuzzy Systems, Vol 10, No 1, Feb 2002 .
[6] N.K.Bose,P.Liang “Neural Network Fudnamentals With Graphs,Algorithms and Applications”

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