ملخص
This paper describes a new segmentation algorithm for handwritten Arabic characters using Rotational Invariant Segments Features (RISF). The algorithm evaluates a large set of curved segments or strokes through the image of the input Arabic word or subword using a dynamic feature extraction technique then nominates a small optimal subset of cuts for segmentation. All the directions of stroke are converted to two main segments: '+' and w'-' RISF. A list of nominated segmentation points are prepared from the '+' segments and evaluated according to special conditions to locate the final segmentation points. The RISF algorithm was tested by using our new designed database AHD/AUST and the IFN/ENIT database. It has achieved a high segmentation rate of 95.66% on AHD/AUST and 90.58% on IFN/ENIT handwritten Arabic databases.
اللغة الأصلية | English |
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الصفحات (من إلى) | 200-208 |
عدد الصفحات | 9 |
دورية | International Arab Journal of Information Technology |
مستوى الصوت | 5 |
رقم الإصدار | 2 |
حالة النشر | Published - أبريل 2008 |
منشور خارجيًا | نعم |
ASJC Scopus subject areas
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