Character identification

Image analysis – Pattern recognition – Unconstrained handwriting

Reexamination Certificate

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Details

C382S187000, C382S186000, C345S179000, C702S022000

Reexamination Certificate

active

07469062

ABSTRACT:
The present invention provides a method of modifying a classification scheme for classifying hand-written characters to thereby make the classification scheme user dependent. The classification scheme includes a number of allographs, each allograph representing a respective style of a respective letter. The method includes obtaining at least one hand-written character, and then selecting an allograph representing the character. One or more of the allographs are then modified in accordance with the selection, to thereby reflect the fact that the allograph corresponds to a style of letter used by the user.

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Prevost et al. “Non-supervised Determination of Allograph Sub-classes for On-Line Omni-scriptor Handwriting Recognition” Fifth International Conference on Document Analysis and Recognition, Sep. 20-22, 1999 (Whole document).
Vuurpijl et al. “Finding structure in diversity: A hierarchical clustering method for the categorization of allographs in handwriting ” Fourth International Conference on Document Analysis and Recognition, Aug. 18-20, 1997 (Whole document).
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