FLD Based Unconstrained Handwritten Kannada Character Recognition

Authors:
Niranjan SK;Vijaya Kumar;Hemantha Kumar G;Manjunath Aradhya V. N
Affiliations:
-;-;-;-
Venue:
FGCNS '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia - Volume 03
Year:
2008

Citing 0
Cited 2

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The study of different similarity measure techniques in recognition of handwritten characters

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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.