Recognition of typed text characters using a 2-D FT for a letter driven text reading system
Identifieur interne : 003116 ( Main/Merge ); précédent : 003115; suivant : 003117Recognition of typed text characters using a 2-D FT for a letter driven text reading system
Auteurs : A. T. Gumahad Ii [États-Unis] ; N. G. Bourbakis [États-Unis] ; C. Koutsouperas [États-Unis]Source :
- Engineering Applications of Artificial Intelligence [ 0952-1976 ] ; 1993.
Abstract
A non-conventional text character extraction technique, called Horizontal-Vertical Projection (HVP), has been used for feature extraction of numerous alpha-numeric symbols. In an earlier paper, a classification process using 1-D Fourier Transformation was used. This limited the success of the HVP character rcognition ratio, however. In this paper, a 2-D feature extraction technique is presented showing the improvements of the HVP character-recognition ratio over the previous approach.
Url:
DOI: 10.1016/0952-1976(93)90008-L
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<front><div type="abstract" xml:lang="en">A non-conventional text character extraction technique, called Horizontal-Vertical Projection (HVP), has been used for feature extraction of numerous alpha-numeric symbols. In an earlier paper, a classification process using 1-D Fourier Transformation was used. This limited the success of the HVP character rcognition ratio, however. In this paper, a 2-D feature extraction technique is presented showing the improvements of the HVP character-recognition ratio over the previous approach.</div>
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