Defining writer´s invariants to adapt the recognition task

Investigates the automatic reading of unconstrained omni-writer handwritten texts. This paper shows how to endow the reading system with adaptation faculties for each writer´s handwriting. The adaptation principles are of major importance for making robust decisions when neither simple lexical nor syntactic rules can be used, e.g. for a free lexicon or for full text recognition. The first part of this paper defines the concept of writer´s invariants. In the second part, we explain how the recognition system can be adapted to a particular handwriting by exploiting the graphical context defined by the writer´s invariants. This adaptation is guaranteed, thanks to the writer´s invariants, by activating interaction links over the whole text between the recognition procedures for word entities and those for letter entities