Off-line arabic handwritten word segmentation using rotational invariant segments features

Shubair Abdulla*, Amer Al-Nassiri, Rosalina Abdul Salam

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

14 اقتباسات (Scopus)

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 الأصليةEnglish
الصفحات (من إلى)200-208
عدد الصفحات9
دوريةInternational Arab Journal of Information Technology
مستوى الصوت5
رقم الإصدار2
حالة النشرPublished - أبريل 2008
منشور خارجيًانعم

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1700???

قم بذكر هذا