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Silent training by error correction for on-line handwritting recognition systems

  • US 5,544,260 A
  • Filed: 07/12/1994
  • Issued: 08/06/1996
  • Est. Priority Date: 07/12/1994
  • Status: Expired due to Fees
First Claim
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1. A method of training a handwriting recognition system to recognize handwritten characters of a particular user, comprising:

  • (a) storing electrical representations of a plurality of prototype characters in a memory;

    (b) entering a string of user-generated handwritten characters on an electronic digitizing tablet;

    (c) generating an electrical representation of the string of handwritten characters;

    (d) comparing the electrical representation of the user generated string of characters with the representations of the prototype characters stored in memory;

    (e) displaying on the digitizing tablet, for each user generated handwritten character, a corresponding character, the corresponding character being a prototype character whose electrical representation most closely resembles the electrical representation of the particular user-generated handwritten character;

    (f) entering on the digitizing tablet, for each incorrectly recognized user-input character, a user-generated handwritten correction character;

    (g) comparing an electrical representation of the user generated handwritten correction character with the representations of the prototype characters stored in memory, excluding the electrical representation of the incorrectly returned character;

    (h) displaying on the digitizing tablet, for each correction character, a corresponding correction character, the corresponding correction character of a particular user-generated handwritten correction character being a prototype character whose electrical representation most closely resembles the electrical representation of the particular user-generated handwritten correction character;

    (i) repeating steps (f) through (h) if the corresponding correction character does not match the user generated correction character;

    (j) comparing the electrical representation of the misrecognized user generated handwritten character and the user generated correction character and determining whether they resemble one another within a predetermined threshold and;

    if so, retraining the system to recognize the misrecognized user generated character and the user generated correction character as the corresponding correction character;

    if not, retraining the system to recognize the user generated correction character as the corresponding correction character.

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