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...
This paper presents a lexical post-processing optimization for handwritten word recognition. The aim of this work is to explore the combination of different lexical postprocessing...
Generally, handwritten word recognition systems use script specific methodologies. In this paper, we present a unified approach for multi-lingual recognition of alphabetic scripts...
Yousri Kessentini, Thierry Paquet, Abdelmajid Ben ...
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...