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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 : 003117

Recognition 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 :

RBID : ISTEX:CBD369B3A72D95EA3E556D2A14C9945842DC1E69

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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ISTEX:CBD369B3A72D95EA3E556D2A14C9945842DC1E69

Le document en format XML

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<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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