Method and system for modeling handwriting using polynomials as

Image analysis – Pattern recognition – On-line recognition of handwritten characters

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382198, 382203, 382241, G06K 900, G06K 948, G06K 946, G06K 936

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057647976

ABSTRACT:
A method and system for modeling handwriting using polynomials as a function of time. In a preferred embodiment, a user inputs handwriting by writing with an electronic pen on an electronic tablet. The tablet samples the location of the tip of the pen on the tablet from pen down until pen up at periodic intervals as each stroke in a character is written and inputs the (x,y) coordinates for each stroke in the character to a normalizer. The normalizer normalizes the (x,y) coordinates and inputs the normalized (x,y) coordinates to a featurizer. The featurizer generates a set of features that represent each stroke in the character. In the preferred embodiment, the features are coefficients of a Chebyshev. After the Chebyshev coefficients have been generated for each stroke in the character, the featurizer normalizes the set of Chebyshev coefficients. During training, the normalized Chebyshev coefficients are input to a prototype generator. After receiving all of the input samples for a given character and the corresponding set of Chebyshev coefficients for each sample, the prototype generator generates one or more prototypes of the given character and stores the prototype(s) in a database. During recognition, the normalized Chebyshev coefficients are input to a classifier. After receiving the set of Chebyshev coefficients for a character to be recognized, the classifier compares the set of Chebyshev coefficients to the prototypes stored in the database to find an acceptable match. If an acceptable match is found, the character corresponding to the matching prototype is output.

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