Patent Document ID: 6160914
Application ID: 08989081
Patent Status: 1

Claim One:
1. A handwritten character recognition method by which the matching of characters is determined by acquisition of coordinate information and writing pressure information relating to a handwritten character string as three-dimensional time series information, and by comparison of the acquired three-dimensional time series information with handwritten character string data registered beforehand, the method comprising the steps of: acquiring coordinate information and writing pressure information relating to the handwritten character string as three-dimensional time series information; correcting the handwritten character string data through use of a warping function in order to minimize a cumulative error between the handwritten character string data and the registered handwritten character string data; comparing the thus-corrected character string data with the registered handwritten character string data by dynamic programming matching so as to obtain the overall degree of difference between the corrected handwritten character string data and the registered handwritten character string data; extracting characters from the registered handwritten character string data and the input handwritten character string data; normalizing the thus-extracted characters on a character-by-character basis with regard to position and size; calculating cumulative errors in coordinate and a cumulative error in writing pressure between the registered handwritten character string data and the input handwritten character string data for each character; summing the cumulative errors for each character to thereby produce the degree of character-by-character difference between the corrected handwritten character string data and the registered handwritten character string data; and determining whether the handwritten character string is genuine or false from the overall degree of difference between the corrected handwritten character string data and the registered handwritten character string data, as well as from the degree of character-by-character difference between the corrected handwritten character string data and the registered handwritten character string data.