Distinguishing text from non-text in digital ink

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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C382S228000, C345S173000, C178S018030, C434S162000

Reexamination Certificate

active

07496232

ABSTRACT:
A discriminative machine learning system for labels text and non-text strokes in digital ink. The learning system considers stroke features and the context of the strokes, such as temporal information about one or more strokes, in a probabilistic framework. The learning system can also consider gap features within the probabilistic framework to label associated strokes.

REFERENCES:
patent: 5333209 (1994-07-01), Sinden et al.
patent: 5559897 (1996-09-01), Brown et al.
patent: 5878164 (1999-03-01), Brown et al.
patent: 5940532 (1999-08-01), Tanaka
patent: 5946410 (1999-08-01), Lyon
patent: 6671395 (2003-12-01), Ott et al.
patent: 6671417 (2003-12-01), Koshinaka
patent: 6970601 (2005-11-01), Kaneda et al.
patent: 2003/0215145 (2003-11-01), Shilman et al.
patent: 2004/0165774 (2004-08-01), Koubaroulis et al.

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