Machine Printed Arabic Character Recognition Using S-GCM
Liying Zheng · 2006
Arabic characters are widely used in Arabic countries. However, there is a little work has been done on recognition of Arabic characters. This paper proposed a new method for recognition machine printed Arabic characters. The proposed method employs Ishii et al’s chaotic neural network model, which is called globally coupled map using the symmetric map (S-GCM), for recognizing Arabic characters. The proposed method is tested on two fonts, Simplified Arabic and Arabic Transparent, and 9 sizes, 8, 9, 10, 11, 12, 14, 16, 18, 20. The recognition rate is greater than 97%.