Title :
A structural method of pattern recognition and its application to on line recognition of Chinese ideographs
Author :
Castan, S. ; Shen, J.
Author_Institution :
Université Paul Sabatier, Toulouse, France
Abstract :
In structural pattern recognition, the errors in primitive recognition have an important effect on the recognition rate of object. This paper proposes a method using models with fuzzy primitives. It provides a simple and effective approach which can, by utilizing the knowledge about the universe and the context of the primitives, correct possible errors in primitive recognition and therefore improve the ability of the recognition system. In order to apply this method to the on line recognition of handwritten chinese ideographs, a method for feature extraction of graphisms, i.e. MLG method, is developed. Our system is implemented on a micro-computer Apple-II, the experiments for 200 chinese ideographs give satisfactory results.
Keywords :
Context modeling; Error correction; Feature extraction; Fuzzy sets; Handwriting recognition; Image analysis; Microcomputers; Pattern recognition; Robots; Samarium;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
DOI :
10.1109/ICASSP.1982.1171522