Thierry Paquet

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In this paper, we apply an Information Retrieval model for the writer identification task. A set of local features is defined by clustering the graphemes produced by a segmentation procedure. Then a textual based Information Retrieval model is applied. After a first indexation step, this model no longuer requires image access to the database for responding(More)
In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting. We thus enlarge the scope of the possible use of these two tasks which have been, up to now, mainly evaluated on script handwritings. A textual based(More)