Systems and methods for adaptive handwriting recognition

Details Systems and methods for adaptive handwriting recognition Systems and methods for adaptive handwriting recognition

2007-02-27

2007-02-27

Mancuso, Joseph (Department: 2624)

Image analysis

Pattern recognition

Unconstrained handwriting

C382S224000

Reexamination Certificate

active

10442547

ABSTRACT:
The present invention utilizes generic and user-specific features of handwriting samples to provide adaptive handwriting recognition with a minimum level of user-specific enrollment data. By allowing generic and user-specific classifiers to facilitate in a recognition process, the features of a specific user's handwriting can be exploited to quickly ascertain characteristics of handwriting characters not yet entered by the user. Thus, new characters can be recognized without requiring a user to first enter that character as enrollment or “training” data. In one instance of the present invention, processing of generic features is accomplished by a generic classifier trained on multiple users. In another instance of the present invention, a user-specific classifier is employed to modify a generic classifier's classification as required to provide user-specific handwriting recognition.

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