Title :
Hand printed Arabic character recognition system
Author :
Amin, Adnan ; Al-Sadoun, Humoud B.
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Kensington, NSW, Australia
Abstract :
The paper proposes a structural technique for automatic recognition of hand printed Arabic characters. The advantages of this technique are: more efficient for large and complex sets such as Arabic characters; not expensive for feature extraction; and its execution time does not depend on either the font or the size of the characters. The algorithm was implemented on a microcomputer and tested by 10 different users. The recognition rate obtained was about 90%
Keywords :
optical character recognition; execution time; feature extraction; hand-printed Arabic character recognition system; microcomputer; Australia; Character recognition; Computer architecture; Computer science; Feature extraction; Microcomputers; Shape; Skeleton; Testing; Text recognition;
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
DOI :
10.1109/ICPR.1994.577012
