Recognition of secondary characters in handwritten Arabic using Fuzzy Logic
نویسندگان
چکیده
Arabic language is characterized by extensive use of dots or secondary characters associated with main body or primary characters. More than half of the Arabic characters can only be distinguished by these secondary characters. Hence recognition of these characters has a vital importance in Arabic OCR. In printed text the problem is much easier than handwritten text because of the variety of shapes and the minute sizes of these secondary characters. In this paper the use of fuzzy logic in recognition of these secondary characters is presented. Features like width, length, number of pixels and height-to-width ratio are used for recognition of these characters. Membership functions for fuzzy logic treatment are derived from handwritten data and are used in the fuzzy rules. The secondary characters may give even further information for recognition of the characters.
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