Statistical online character recognition
First Claim
1. A method for generating patterns for use in online character recognition, the method comprising:
- performing one or more pre-processing operations on a character sample;
performing one or more feature extraction operations on the character sample, wherein the one or more feature extraction operations produce a feature vector for the character sample, wherein said performing the one or more feature extraction operations utilizes a Gabor filter, wherein the one or more feature extraction operations comprise;
extracting directional features based on the direction of the character sample'"'"'s points;
generating directional pattern images based on the directional features;
filtering the directional pattern images using a Gabor filter; and
forming the feature vector based on the filtered directional pattern images;
performing statistical training to generate patterns based on the feature vector of the character sample;
storing the patterns in a memory, wherein the patterns are configured to be used to recognize handwritten characters.
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Abstract
A statistical system and method for generating patterns and performing online handwriting recognition based on those patterns. A plurality of predetermined patterns may be generated by performing feature extraction operations on one or more character samples utilizing a Gabor filter. An online handwritten character may be acquired. The online handwritten character may be pre-processed. One or more feature extraction operations, utilizing a Gabor filter, may be performed on the online handwritten character to produce a feature vector. One or more patterns may be generated, using a statistical algorithm, for the online handwritten character, based on the feature vector. The online handwritten character may be statistically classified based on a comparison between the one or more patterns generated for the online handwritten character and the plurality of predetermined patterns.
7 Citations
16 Claims
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1. A method for generating patterns for use in online character recognition, the method comprising:
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performing one or more pre-processing operations on a character sample; performing one or more feature extraction operations on the character sample, wherein the one or more feature extraction operations produce a feature vector for the character sample, wherein said performing the one or more feature extraction operations utilizes a Gabor filter, wherein the one or more feature extraction operations comprise; extracting directional features based on the direction of the character sample'"'"'s points; generating directional pattern images based on the directional features; filtering the directional pattern images using a Gabor filter; and forming the feature vector based on the filtered directional pattern images; performing statistical training to generate patterns based on the feature vector of the character sample; storing the patterns in a memory, wherein the patterns are configured to be used to recognize handwritten characters. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A memory medium comprising program instructions for generating patterns for use in online character recognition, wherein the program instructions are executable to:
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perform one or more pre-processing operations on a character sample; perform one or more feature extraction operations on the character sample, wherein the one or more feature extraction operations produce a feature vector for the character sample, wherein said performing the one or more feature extraction operations utilizes a Gabor filter, wherein in performing the one or more feature extraction operations, the program instructions are executable to; extract directional features based on the direction of the character sample'"'"'s points; generate directional pattern images based on the directional features; filter the directional pattern images using a Gabor filter; and form the feature vector based on the filtered directional pattern images; perform statistical training to generate patterns based on the feature vector of the character sample; store the patterns in a memory, wherein the patterns are configured to be used to recognize handwritten characters. - View Dependent Claims (9, 10)
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11. A method for recognizing handwritten characters using predetermined patterns, comprising:
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generating the plurality of predetermined patterns, wherein the plurality of predetermined patterns are generated by performing one or more feature extraction operations on the character sample utilizing a Gabor filter, wherein the plurality of predetermined patterns are stored in a memory; acquiring an online handwritten character; pre-processing the online handwritten character; extracting features of the online handwritten character, thereby determining a feature vector, wherein extracting features of the online handwritten character to determine the feature vector comprises; extracting directional features based on the direction of the character sample'"'"'s points; generating directional pattern images based on the directional features; filtering the directional pattern images using a Gabor filter; and forming the feature vector based on the filtered directional pattern images; generating, using a statistical algorithm, one or more patterns for the online handwritten character based on the feature vector; classifying the online handwritten character, comprising determining a character corresponding to the online handwritten character based on the generated one or more patterns and the plurality of predetermined patterns. - View Dependent Claims (12, 13, 14, 15, 16)
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Specification