DocumentCode
2755719
Title
Arabic handwritten datasets for pattern recognition and machine learning
Author
Musa, Mohamed E M
Author_Institution
Sudan Univ. of Sci. & Technol., Khartoum, Sudan
fYear
2011
fDate
12-14 Oct. 2011
Firstpage
1
Lastpage
3
Abstract
This paper describes the efforts of SUST-ALT (Sudan University of Science and Technology- Arabic Language Technology group) research group towards building datasets for research in recognition of Arabic handwritten. The datasets contain: numerals datasets, isolated Arabic letters datasets, Arabic names datasets. Most of these datasets are off-line. The paper also describes some published results as well as future work.
Keywords
handwritten character recognition; image recognition; learning (artificial intelligence); natural languages; Arabic handwritten dataset; Arabic handwritten recognition; Arabic name dataset; SUST-ALT; Sudan University of Science and Technology- Arabic language technology group; isolated Arabic letter dataset; machine learning; numerals dataset; pattern recognition; Educational institutions;
fLanguage
English
Publisher
ieee
Conference_Titel
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Conference_Location
Baku
Print_ISBN
978-1-61284-831-0
Type
conf
DOI
10.1109/ICAICT.2011.6110959
Filename
6110959
Link To Document