FLD Based Unconstrained Handwritten Kannada Character Recognition

Author

Niranjan, S.K. ; Kumar, Vijaya ; Kumar, G. Hemantha ; Aradhya, V.N.M.

Author_Institution

Dept of Comput. Sci. & Eng., Bahubali Coll. of Eng., Hassan

Volume

3

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

7

Lastpage

10

Abstract

In this paper, we propose unconstrained handwritten Kannada character recognition based on Fisher linear discriminant analysis (FLD). The proposed system extracts features from well known FLD, Two dimensional FLD (2D-FLD) and diagonal FLD. In order to classify the characters, we explore different distance measure techniques and compare their results. The proposed system is tested on unconstrained handwritten Kannada characters with pertaining to large number of character classes. The system showed effectiveness and feasibility of the proposed method.

Keywords

feature extraction; handwritten character recognition; image classification; Fisher linear discriminant analysis; character classification; distance measure techniques; feature extraction; handwritten Kannada character recognition; two dimensional FLD; Character generation; Character recognition; Computer science; Conferences; Covariance matrix; Feature extraction; Handwriting recognition; Linear discriminant analysis; Scattering; Writing; Distance measures; FLD; Handwritten Kannada characters;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on

Conference_Location

Sanya

Print_ISBN

978-1-4244-3430-5

Electronic_ISBN

978-0-7695-3546-3

Type

conf

DOI

10.1109/FGCNS.2008.17

Filename

4813535