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Handwritten text recognition is a problem rarely studied out of specific applications for which lexical knowledge can constrain the vocabulary to a limited one. In the case of handwritten text recognition, additional information can be exploited to characterize the specificity of the writing. This knowledge can help the recognition system to find coherent(More)
This paper investigates the automatic reading of unconstrained omni-writer handwritten texts. It shows how to endow the reading system with learning faculties necessary to adapt the recognition to each writer’s handwriting. In the 2rst part of this paper, we explain how the recognition system can be adapted to a current handwriting by exploiting the(More)
This paper deals with the problem of o3-line handwritten text recognition. It presents a system of text recognition that exploits an original principle of adaptation to the handwriting to be recognized. The adaptation principle is based on the automatic learning, during the recognition, of the graphical characteristics of the handwriting. This on-line(More)
,QWURGXFWLRQ Learning machines to read omni-writer handwritten texts requires, on the one hand, sophisticated and highly adapted algorithms of pattern recognition and, on the other hand, the management of the various knowledge sources to exploit the human reader experience and cognitive structures. Conventional systems which consider the recognition of(More)
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