CHARACTER RECOGNITION BY SIGNATURE APPROXIMATION
N. Papamarkos, Iraklis M. Spiliotis, A. ZOUMADAKIS · International Journal of Pattern Recognition and Artificial Intelligence · 1994
This paper describes a new method for character recognition of typewritten text. The proposed approach is based on the approximation of character signatures by rational functions. Specifically, after the preprocessing operation, a separation procedure is applied to each character and its one-dimensional signatures are derived. These signatures are then approximated by rational functions via a linear programming technique and according to the minimax criterion. The values of the approximation errors for each signature are specified as character features. Through this technique only six powerful features are derived for each character. The classification technique employed is simple, adapted to the features selected and is based on features’ similarities in combination with the minimum Euclidean distance classifier.