Image analysis – Pattern recognition – On-line recognition of handwritten characters
Patent
1996-06-14
1999-01-26
Shalwala, Bipin
Image analysis
Pattern recognition
On-line recognition of handwritten characters
382192, 382198, 382229, G06K 900, G06K 948, G06K 972
Patent
active
058646353
ABSTRACT:
Pre-recognition analysis on stroke characteristics such as the count, size and position of each stroke in real-time as it is drawn improves recognition accuracy. After each stroke, the set of strokes is weighted toward handwriting or gesture. The system uses a gesture threshold size to distinguish between gestures and handwriting. The system also uses the stroke count to distinguish between the two inputs, relying on the knowledge of the allowable number of strokes in a gesture. The count information may also be used in conjunction with the stroke size information to weight the set of strokes between gestures handwriting. Once the stroke size crosses a gesture vs. text size threshold, the result is weighted toward gestures. By examining the `white space` between strokes and the juxtaposition of the strokes, a gesture vs. text determination can be made with high accuracy.
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Desrosiers Maurice Roger
Zetts John Mark
International Business Machines - Corporation
LaBaw Jeffrey S.
Shalwala Bipin
LandOfFree
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