Classifying an input character

Details Classifying an input character Classifying an input character

2010-03-30

2010-12-07

Ahmed, Samir A. (Department: 2624)

Image analysis

Pattern recognition

Unconstrained handwriting

C382S159000, C382S187000

Reexamination Certificate

active

07848574

ABSTRACT:
A method for classifying an input character is disclosed. Character models are used. Each character model is associated with an output character and defines a model specific segmentation scheme for that output character and an associated segment model. The model specific segmentation scheme defines a minimum length corresponding to a number of points in a stroke of the output character and a minimum length threshold. Using each of the character models, the input character is decomposed into segments and the segments are evaluated against the segment model of the respective character model to produce a score indicative of the conformity of the segments with the segment model. The character model that produced the highest score is selected and the input character is classified as the output character associated with the character model that produces the highest score.

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