Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2011-02-01
2011-02-01
Ahmed, Samir A (Department: 2624)
Image analysis
Pattern recognition
Unconstrained handwriting
C382S229000
Reexamination Certificate
active
07881536
ABSTRACT:
A method of identifying a string formed from a number of hand-written characters is disclosed. The method starts by determining character probabilities for each hand-written character in the string. Each character probability represents the likelihood of the respective hand-written character being a respective one of a number of predetermined characters. Next, template probabilities for the string are determined. Each template probability represents the likelihood of the string corresponding to a respective one of a number of templates. Each template represents a respective combination of character types. The step of determining the template probabilities for the string includes the sub-steps of determining the number of characters in the string, selecting templates having an identical number of characters, and obtaining a template probability for each selected template.
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Ahmed Samir A
Rashidian Mehdi
Silverbrook Research Pty Ltd
LandOfFree
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