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A geometric approach to machine-printed character recognition
Wang, L. Pavlidis, T.
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY;

This paper appears in: Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Publication Date: 15-18 Jun 1992
On page(s): 665-668
Meeting Date: 06/15/1992 - 06/18/1992
Location: Champaign, IL, USA
ISBN: 0-8186-2855-3
References Cited: 11
INSPEC Accession Number: 4391265
Digital Object Identifier: 10.1109/CVPR.1992.223206
Current Version Published: 2002-08-06

Abstract
An approach to feature extraction that eliminates binarization by extracting features directly from gray scale images is presented. It not only allows the processing of poor quality input (e.g., low contrast, dirty images), but also offers the possibility of significantly lower resolution for digitization

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