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).

• Type: Conference
• Year: 2003
• Where: ICDAR
• Authors: Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos Fakotakis, George K. Kokkinakis
• Keywords: Document Analysis, Handwritten Recognition Algorithm, ICDAR 2003, Inout Radial Profiles, Radial Histogram