Handwritten word recognition using multi-view analysis
Handwritten word recognition using multi-view analysis
De Oliveira, J. J. and De Freitas, C. O.A. and De Carvalho, J. M. and Sabourin, R.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2009
Abstract : 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. © 2009 Springer-Verlag Berlin Heidelberg.
