Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2004-06-23
2009-02-24
Chawan, Sheela C (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
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.
Bishop Christopher M.
Hinton Geoffrey
Svensen Johan Fredrik Markus
Chawan Sheela C
Microsoft Corporation
LandOfFree
Distinguishing text from non-text in digital ink does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Distinguishing text from non-text in digital ink, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Distinguishing text from non-text in digital ink will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4073129