Recognition of Segmented Online Arabic Handwritten Characters of the ADAB Database

Author

Azeem, S.A. ; Ahmed, Hany

Author_Institution

Electron. Eng. Dept., American Univ. in Cairo (AUC), Cairo, Egypt

Volume

1

fYear

2011

fDate

18-21 Dec. 2011

Firstpage

204

Lastpage

207

Abstract

The aim of this work is to fill a void in the literature of Arabic handwriting recognition by studying the performance of different feature extraction methods on online segmented Arabic characters. The contribution of this paper is to introduce a large database of segmented online handwritten Arabic characters and report the performance of various feature extraction techniques on the segmented characters to serve as a benchmark for any future work on the problem of online Arabic characters recognition.

Keywords

feature extraction; handwritten character recognition; image segmentation; natural language processing; very large databases; ADAB database; Arabic handwriting recognition; feature extraction methods; feature extraction techniques; large database; online Arabic characters recognition; online segmented Arabic characters; segmented characters; segmented online Arabic handwritten characters recognition; segmented online handwritten Arabic characters; Character recognition; Databases; Feature extraction; Handwriting recognition; Interpolation; Manuals; Writing; Arabic characters recognition; Handwritten Arabic; Online character recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

978-1-4577-2134-2

Type

conf

DOI

10.1109/ICMLA.2011.120

Filename

6146970