Systems and methods for adaptive handwriting recognition
First Claim
1. A system that facilitates adaptive handwriting recognition, comprising:
- a component that receives handwriting data; and
a recognition component that analyzes the handwriting data in connection with recognition thereof, the recognition component employing at least one generic classifier and at least one user-specific classifier in connection with the analysis.
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Accused Products
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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Citations
34 Claims
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1. A system that facilitates adaptive handwriting recognition, comprising:
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a component that receives handwriting data; and
a recognition component that analyzes the handwriting data in connection with recognition thereof, the recognition component employing at least one generic classifier and at least one user-specific classifier in connection with the analysis. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 31, 33)
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14. A method for building a handwriting recognition system, comprising:
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building at least one generic classifier utilizing handwriting data associated with a plurality of users; and
building at least one user specific classifier utilizing handwriting data supplied by at least one selected from the group consisting of a specific user and both a specific user and a plurality of users. - View Dependent Claims (15, 16, 17, 18, 19)
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20. A system for recognizing handwriting, comprising:
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means for generically determining a classification of handwriting information trained via data from multiple users; and
means for specifically determining a classification of handwriting information trained, at least in part, via data from a specific user; and
means for operably utilizing both the generically determining means and the specifically determining means to classify handwriting data. - View Dependent Claims (21, 22)
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23. A method for recognizing handwriting, comprising:
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processing handwriting data utilizing at least one generic classifier to establish at least one classification of the data; and
utilizing at least one user-specific classifier to further refine the classification of the data by the generic classifier. - View Dependent Claims (24, 25, 26, 27, 28, 29, 32, 34)
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30. A data packet transmitted between two or more computer components that facilitates handwriting recognition, the data packet comprising, at least in part, handwriting related information from a handwriting recognition system that utilizes a generic classifier and a user-specific classifier in conjunction to classify handwriting data.
Specification