Arabic handwriting recognition using concavity features and classifier fusion
Files
Department
Electronics & Communications Engineering Department
Abstract
[abstract not available]
Publication Date
12-1-2011
Document Type
Book Chapter
Book Title
Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011
ISBN
SCOPUS_ID:84857848360
Publisher
IEEE
City
Honolulu, HI
First Page
200
Last Page
203
Keywords
Arabic Digits, offline handwritten
Recommended Citation
APA Citation
Azeem, S.
&
El Meseery, M.
(2011).Arabic handwriting recognition using concavity features and classifier fusion. IEEE. , 200-203
https://fount.aucegypt.edu/faculty_book_chapters/674
MLA Citation
Azeem, Sherif Abdel, et al.
Arabic handwriting recognition using concavity features and classifier fusion. IEEE, 2011.pp. 200-203
https://fount.aucegypt.edu/faculty_book_chapters/674