Segmentation techniques for recognition of Arabic-like scripts: a comprehensive survey

Naz, Saeeda, Umar, Arif I., Shirazi, Syed H., Ahmed, Saad B., Razzak, Muhammad I. and Siddiqi, Imran 2016, Segmentation techniques for recognition of Arabic-like scripts: a comprehensive survey, Education and information technologies, vol. 21, no. 5, pp. 1225-1241, doi: 10.1007/s10639-015-9377-5.

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Title Segmentation techniques for recognition of Arabic-like scripts: a comprehensive survey
Author(s) Naz, Saeeda
Umar, Arif I.
Shirazi, Syed H.
Ahmed, Saad B.
Razzak, Muhammad I.ORCID iD for Razzak, Muhammad I. orcid.org/0000-0002-3930-6600
Siddiqi, Imran
Journal name Education and information technologies
Volume number 21
Issue number 5
Start page 1225
End page 1241
Total pages 17
Publisher Springer
Place of publication New York, N.Y.
Publication date 2016
ISSN 1360-2357
1573-7608
Keyword(s) Segmentation
Urdu OCR
Nasta’liq
Character recognition
Language eng
DOI 10.1007/s10639-015-9377-5
Indigenous content off
Field of Research 13 Education
08 Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2015, Springer Science+Business Media New York
Persistent URL http://hdl.handle.net/10536/DRO/DU:30132592

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