Arabic handwriting recognition using concavity features and classifier fusion

Authors

Sherif Abdel Azeem, American University in CairoFollow
Maha El Meseery, American University in Cairo

Files

Department

Electronics & Communications Engineering Department

Description

[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