Handwritten word recognition based on structural characteristics and lexical support

In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are used, in combination with the newly introduced radial histogram, out-in radial and in-out radial profiles for representi...

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Bibliographic Details
Published inSeventh International Conference on Document Analysis and Recognition, 2003. Proceedings pp. 562 - 566 vol.1
Main Authors Kavallieratou, E., Sgarbas, K., Fakotakis, N., Kokkinakis, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Character recognition
Feature extraction
Handwriting recognition
Histograms
Humans
Image analysis
Image segmentation
Optical character recognition software
Text analysis
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Summary:In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are used, in combination with the newly introduced radial histogram, out-in radial and in-out radial profiles for representing 32 /spl times/ 32 matrices of characters, as 280-dimension vectors. The recognition process has been supported by a lexical component based on dynamic acyclic FSAs (Finite-State-Automata).
ISBN:9780769519609
0769519601
DOI:10.1109/ICDAR.2003.1227727