Handwritten Character Recognition Using Fuzzy Membership Function
IJETSE International Journal of Emerging Technologies in Sciences and Engineering, Vol. 5, No. 2, Dec 2011
5 Pages Posted: 22 Feb 2012 Last revised: 23 Feb 2012
Date Written: February 21, 2012
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.
Keywords: Fusion, Pattern score, Fuzzy membership function
JEL Classification: C45, C60, C69
Suggested Citation: Suggested Citation