Title :
A new segmentation technique of Arabic text
Author :
Amin, Adnan ; Al-sadoun, Humoud B.
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Kensington, NSW, Australia
fDate :
30 Aug-3 Sep 1992
Abstract :
Character recognition has attracted an immense research interest. Hand printed Latin text and printed Arabic text are cursive script. One of the difficulties involved in processing such text is the segmentation of the text into distinct characters. Thereafter, the recognition of these characters. The paper proposes a new segmentation technique for Arabic text
Keywords :
character recognition; image segmentation; Arabic text; character recognition; cursive script; segmentation; Binary trees; Character recognition; Computational modeling; Computer science; Humans; Image segmentation; Office automation; Shape; Skeleton; Text recognition;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201813