Image analysis – Pattern recognition – On-line recognition of handwritten characters
Reexamination Certificate
2003-11-07
2008-05-06
LaRose, Colin (Department: 2624)
Image analysis
Pattern recognition
On-line recognition of handwritten characters
C382S161000, C382S224000
Reexamination Certificate
active
07369702
ABSTRACT:
Input handwritten characters are classified as print or cursive based upon numerical feature values calculated from the shape of an input character. The feature values are applied to inputs of an artificial neural network which outputs a probability of the input character being print or cursive. If a character is classified as print, it is analyzed by a print character recognizer. If a character is classified as cursive, it is analyzed using a cursive character recognizer. The cursive character recognizer compares the input character to multiple prototype characters using a Dynamic Time Warping (DTW) algorithm.
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Abdulkader Ahmad A.
Leung Brian
Rowley Henry Allan
Zhang Qi
Birch & Stewart Kolasch & Birch, LLP
LaRose Colin
Microsoft Corporation
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