Abstract

On-line recognition algorithms free from writing constraints and high-quality thinning algorithms are important subjects in research on handwriting recognition and are also essential for the integration of off-line and on-line recognition of handwriting. We present an approach to the integration of off-line and on-line recognition of unconstrained handwritten characters by adapting an on-line recognition algorithm to off-line recognition, based on high-quality thinning algorithms. In the experiments, high recognition rate has been attained with a small number of class descriptions (typically one class for one character).

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