Handwritten Character Recognition Using Fuzzy Membership Function
Assam University - Department of Mathematics
affiliation not provided to SSRN
February 21, 2012
IJETSE International Journal of Emerging Technologies in Sciences and Engineering, Vol. 5, No. 2, Dec 2011
In the present paper, we have given a method to recognize a handwritten character by using Fuzzy membership function. Ten sample images of each character in matrix form are fused together to make one standard matrix of the character. The unknown character to be tested for identification is also converted to an image matrix and compared with each standard matrix and thereby recognized by using the Fuzzy scores generated. Several binary images have been tested to demonstrate the effectiveness of the system. This method improves the character recognition method of Chakraborty and Sil (2005) in terms of accuracy.
Number of Pages in PDF File: 5
Keywords: Fusion, Pattern score, Fuzzy membership function
JEL Classification: C45, C60, C69Accepted Paper Series
Date posted: February 22, 2012 ; Last revised: February 23, 2012
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