Direct gray-scale extraction of features for character recognition
Wang, L.
Pavlidis, T.
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1993
Volume: 15,
Issue: 10
On page(s): 1053-1067
ISSN: 0162-8828
References Cited: 21
CODEN: ITPIDJ
INSPEC Accession Number: 4580738
Digital Object Identifier: 10.1109/34.254062
Current Version Published: 2002-08-06
Abstract
A method for feature extraction directly from gray-scale images of
scanned documents without the usual step of binarization is presented.
This approach eliminates binarization by extracting features directly
from gray-scale images. In this method, a digitized gray-scale image is
treated as a noisy sampling of the underlying continuous surface and
desired features are obtained by extracting and assembling topographic
characteristics of this surface. The advantages and effectiveness of the
approach are both shown theoretically and demonstrated through
preliminary experiments of the proposed method
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