Handprinted character recognition based on spatial topologydistance measurement
Cheng-Yuan Liou
Hsin-Chang Yang
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Sep 1996
Volume: 18,
Issue: 9
On page(s): 941-945
ISSN: 0162-8828
References Cited: 9
CODEN: ITPIDJ
INSPEC Accession Number: 5402032
Digital Object Identifier: 10.1109/34.537349
Current Version Published: 2002-08-06
Abstract
In this work we present a self-organization matching approach to
accomplish the recognition of handprinted characters drawn with thick
strokes. This approach is used to flex the unknown handprinted character
toward matching its object characters gradually. The extracted character
features used in the self-organization matching are center loci,
orientation, and major axes of ellipses which fit the inked area of the
patterns. Simulations provide encouraging results using the proposed
method
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