A shape analysis model with applications to a character recognitionsystem
Rocha, J.
Pavlidis, T.
Univ. de les Illes Balears, Palma de Mallorca;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Apr 1994
Volume: 16,
Issue: 4
On page(s): 393-404
ISSN: 0162-8828
References Cited: 20
CODEN: ITPIDJ
INSPEC Accession Number: 4679825
Digital Object Identifier: 10.1109/34.277592
Current Version Published: 2002-08-06
Abstract
A method for the recognition of multifont printed characters is
proposed, giving emphasis to the identification of structural
descriptions of character shapes using prototypes. Noise and shape
variations are modeled as series of transformations from groups of
features in the data to features in each prototype. Thus, the method
manages systematically the relative distortion between a candidate shape
and its prototype, accomplishing robustness to noise with less than two
prototypes per class, on average. The method uses a flexible matching
between components and a flexible grouping of the individual components
to be matched. A number of shape transformations are defined, including
filling of gaps, so that the method handles broken characters. Also, a
measure of the amount of distortion that these transformations cause is
given. Classification of character shapes is defined as a minimization
problem among the possible transformations that map an input shape into
prototypical shapes. Some tests with hand-printed numerals confirmed the
method's high robustness level
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