Cursive handwritten word recognition by integrating multiple classifiers.

This paper proposes a method for cursive handwritten word recognition. In the traditional research, cursive handwritten word recognition used a single method for character recognition. Our research proposes a method that integrates multiple classifiers in order to improve the word recognition rate by combining their results. Our experiment demonstrates that two classifiers outperform the word recognition rate of any single character classifier. © 2000 Scripta Technica, Syst Comp Jpn, 31(12): 23–32, 2000 [ABSTRACT FROM AUTHOR]