In this paper, two recognition algorithms for printed Farsi characters are proposed. In the first algorithm, the chain code of the contour is applied to a set of automata which serve as recognizers for different classes. The second algorithm used the Fuzzy Hough transform of the contour image for feature extraction, and a three-layer perception for classification. In the final stage, the number of dots and their position together with some structural features are taken into account to complete the recognition process. <br/> Using a test set of 11500 characters in 10 different fonts, the recognition rates of 97.13% and 98.32% were achieved for the first and second algorithms, respectively.
Azmi,R. , Kabir,E. and Badie,K. (2003). Recognition of Printed Farsi Characters Using Contour-Based Features. (e215806). The CSI Journal on Computer Science and Engineering, 1(1), e215806
MLA
Azmi,R. , , Kabir,E. , and Badie,K. . "Recognition of Printed Farsi Characters Using Contour-Based Features" .e215806 , The CSI Journal on Computer Science and Engineering, 1, 1, 2003, e215806.
HARVARD
Azmi R., Kabir E., Badie K. (2003). 'Recognition of Printed Farsi Characters Using Contour-Based Features', The CSI Journal on Computer Science and Engineering, 1(1), e215806.
CHICAGO
R. Azmi, E. Kabir and K. Badie, "Recognition of Printed Farsi Characters Using Contour-Based Features," The CSI Journal on Computer Science and Engineering, 1 1 (2003): e215806,
VANCOUVER
Azmi R., Kabir E., Badie K. Recognition of Printed Farsi Characters Using Contour-Based Features. CSIonJCSE, 2003; 1(1): e215806.
The CSI Journal on Computer Science and Engineering