Sciweavers

Share
CIARP
2009
Springer

Handwritten Word Recognition Using Multi-view Analysis

10 years 6 months ago
Handwritten Word Recognition Using Multi-view Analysis
This paper brings a contribution to the problem of efficiently recognizing handwritten words from a limited size lexicon. For that, a multiple classifier system has been developed that analyzes the words from three different approximation levels, in order to get a computational approach inspired on the human reading process. For each approximation level a three-module architecture composed of a zoning mechanism (pseudo-segmenter), a feature extractor and a classifier is defined. The proposed application is the recognition of the Portuguese handwritten names of the months, for which a best recognition rate of 97.7% was obtained, using classifier combination.
José Josemar de Oliveira Jr., Cinthia Oblad
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIARP
Authors José Josemar de Oliveira Jr., Cinthia Obladen de Almendra Freitas, João Marques de Carvalho, Robert Sabourin
Comments (0)
books