1. A method for creating character model graphs trained for on-line recognizer of handwritten text to optimize the correct recognition percentage of the recognizer, the method comprising: creating character model graphs from typical shapes of characters, the character model graphs having a set of adjustable parameters; recognizing sample words in a work set using the character model graphs; evaluating the word recognition error for each sample word; calculating the gradient of the word recognition error as function of the adjustable parameters; calculating a work set recognition error gradient; adjusting the adjustable parameters of the character model graphs to update the set of adjustable parameters to provide an updated set; recognizing test words in a test set using character model graphs with the updated set of adjustable parameters; calculating a correct recognition percent for the test set when using the model graphs with the updated set of adjustable parameters; and iterating the above sequence of acts until the correct recognition value reaches an optimum value; and selecting the updated set of adjustable parameters yielding the correct recognition value having the optimum value as the set of adjustable parameters to be used in character model graphs.