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ICDAR
2003
IEEE

Handwritten Word Recognition based on Structural Characteristics and Lexical Support

14 years 4 months ago
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 inout radial profiles for representing 32x32 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).
Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos F
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ICDAR
Authors Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos Fakotakis, George K. Kokkinakis
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