Title :
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
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;
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
DOI :
10.1109/FGCNS.2008.17
