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

See all articles by Sumit Saha

Sumit Saha

Assam University - Department of Mathematics

T. Som

affiliation not provided to SSRN

Date Written: February 21, 2012

Abstract

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

Saha, Sumit and Som, T., Handwritten Character Recognition Using Fuzzy Membership Function (February 21, 2012). IJETSE International Journal of Emerging Technologies in Sciences and Engineering, Vol. 5, No. 2, Dec 2011. Available at SSRN: https://ssrn.com/abstract=2009131 or http://dx.doi.org/10.2139/ssrn.2009131

Sumit Saha (Contact Author)

Assam University - Department of Mathematics ( email )

Silchar, Assam 788 011
India

T. Som

affiliation not provided to SSRN

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