Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2007-11-27
2007-11-27
Bali, Vikkram (Department: 2624)
Image analysis
Pattern recognition
Unconstrained handwriting
C382S185000, C382S187000
Reexamination Certificate
active
10704785
ABSTRACT:
Ink strokes of cursive writing are segmented to make the cursive writing more like print writing, particularly with respect to the number of strokes of a character. A stroke-segmentation module first finds the local extrema points on a stroke of input ink. Then the local extrema points are stepped through, two (or three) at a time. The stroke-segmentation module may compare the three (or four) ink segments that are adjacent to the two (or three) local extrema points to a set of predefined stroke-segmentation patterns to find a closest matching pattern. Strokes are then segmented based on a stroke-segmentation rule that corresponds to the closest matching pattern. Additional stroke segmentation may be performed based on the change of curvature of the segmented ink strokes. Then, a character-recognition module performs character recognition processing by comparing the segmented ink strokes to prototype samples at least some of which have been similarly segmented.
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Abdulkader Ahmad A.
Guha Angshuman
Rowley Henry A.
Zhang Qi
Bali Vikkram
Banner & Witcoff , Ltd.
Microsoft Corporation
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