An Attempt of Individual Identification from Handwritten Characters Based on the Linear- and Curvilinear-Features
T. Satoh, Michio Miyakawa, Masamichi Ishiwata · IEEJ Transactions on Electronics Information and Systems · 2000
The importance of swift and correct identification of individuals is increasing as a key technology to gain access various kinds of information. Specific features appeared in handwritten characters can be used to discriminate a person from the others without invading privacy. This paper deals with the individual identification from handwritten characters in off-line systems. An effective method to extract the specific features appeared in the straight and/or the curved part of handwritten characters is described in this paper. Our feature extraction method is based on calculation of the length and inclination of straight-lines and parameters of the circular arcs that are found in the binarized and thinned lines of the characters. Since the distribution of those specific features depends on the writer, the distribution pattern can be used for the purpose of individual identification. The effectiveness of this method is examined experimentally. The result of our identification experiments enabled us to obtain an 88.4% identification average.