7. The method of claim 1 , wherein the Hidden Markov Models comprise Hidden Markov Models trained using data from a standard writer.
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.