Header menu link for other important links
X
Off-line arabic handwritten word segmentation using rotational invariant segments features
S. Abdulla, , R.A. Salam
Published in
2008
Volume: 5
   
Issue: 2
Pages: 200 - 208
Abstract
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.
About the journal
JournalInternational Arab Journal of Information Technology
ISSN16833198
Open AccessNo
Concepts (4)
  •  related image
    Arabic character segmentation
  •  related image
    Arabic words database
  •  related image
    Cursive writing
  •  related image
    Feature extraction