Hidden Markov Model Based Handwriting/Calligraphy Generation
First Claim
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1. A method for handwritten character generation, implemented at least in part by a computing device, the method comprising:
- receiving a character; and
generating a corresponding handwritten character using Hidden Markov Models trained to generate handwritten characters.
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Abstract
An exemplary method for handwritten character generation includes receiving one or more characters and, for the one or more received characters, generating handwritten characters using Hidden Markov Models trained for generating handwritten characters. In such a method the trained Hidden Markov Models can be adapted using a technique such as a maximum a posterior technique, a maximum likelihood linear regression technique or an Eigen-space technique.
32 Citations
20 Claims
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1. A method for handwritten character generation, implemented at least in part by a computing device, the method comprising:
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receiving a character; and generating a corresponding handwritten character using Hidden Markov Models trained to generate handwritten characters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for adapting trained Hidden Markov Models for generation of handwritten characters, implemented at least in part by a computing device, the method comprising:
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providing initial, trained Hidden Markov Models for generation of handwritten characters; providing training ink data to adapt the initial, trained Hidden Markov Models; and applying an adaptation technique to adapt the initial, trained Hidden Markov Models to the training ink data wherein the adaptation technique comprises a technique selected from a group consisting of maximum a posterior techniques, maximum likelihood linear regression techniques and Eigen-space techniques. - View Dependent Claims (16, 17, 18, 19)
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20. A computing device for generating handwritten characters, the device comprising:
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a processor; a user input mechanism; a display; and control logic implemented at least in part by the processor to generate handwritten characters based on an algorithm that uses Hidden Markov Models.
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Specification