Fuzzy logic based handwritten character recognition

Author

Hanmandlu, M. ; Mohan, K. R Mural1 ; Gupta, Vivek

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, India

Volume

3

fYear

1997

Firstpage

714

Abstract

An attempt is made to develop off-line recognition strategies for the isolated, handwritten English characters (A to Z, a to z). The preprocessing of characters comprises bounding of characters for translation invariance and normalization of characters for size invariance. The variability in a character introduced by the rotation and deformation is the main concern of this paper. This variability has been taken into account by devising a fuzzy logic based approach using normalized angle features

Keywords

character recognition; feature extraction; fuzzy logic; handwriting recognition; branches extraction; character bounding; character variability; deformation; fuzzy logic based approach; handwritten English character recognition; isolated characters; normalization; normalized angle features; off-line recognition; preprocessing; rotation; size invariance; translation invariance; Character recognition; Educational institutions; Equations; Feature extraction; Fuzzy logic; Handwriting recognition; Hidden Markov models; Humans; Optical character recognition software; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.632221

Filename

632221