Title :
Handwritten word recognition based on structural characteristics and lexical support
Author :
Kavallieratou, E. ; Sgarbas, K. ; Fakotakis, N. ; Kokkinakis, G.
Author_Institution :
Wire Commun. Lab., Patras Univ., Greece
Abstract :
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 × 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).
Keywords :
feature extraction; handwriting recognition; handwritten character recognition; image segmentation; acyclic FSA; dynamic FSA; feature extraction; feature vector; finite-state-automata; handwritten recognition algorithm; handwritten word recognition; horizontal histogram; in-out radial profile; lexical support; out-in radial profile; radial histogram; vertical histogram; Character recognition; Feature extraction; Handwriting recognition; Histograms; Humans; Image analysis; Image segmentation; Optical character recognition software; Text analysis; Wire;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227727
