Hidden markov model based handwriting/calligraphy generation

  • US 7,983,478 B2
  • Filed: 08/10/2007
  • Issued: 07/19/2011
  • Est. Priority Date: 08/10/2007
  • Status: Expired due to Fees
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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, the generating including using a Multi-Space Probability Distribution technique that includes a probability for determining whether a stroke is real or imaginary.

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