Oran System: a Basis for an Arabic Ocr
نویسنده
چکیده
In this paper we present a system for document understanding and for recognition of printed Arabic text. Arabic characters must be segmented before recognition. We overcome the problem of segmentation by our proposed ORAN system (Offline Recognition of Arabic characters and Numerals). ORAN is based on a method called Modified MCR. Using a stroke index, we can parse compound document images into three categories: text, picture and graphical patterns. The eventual Arabic text block is considered for further analysis and recognition. Its Modified MCR expression is obtained. The recognition is achieved by simple matching of candidate characters to reference prototypes. The prototypes are designed according to some topological features of the strokes obtained with respect to baseline detection and a zoning scheme. The recognition rate obtained for a popular Arabic font is higher than 97%.
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