Title :
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
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;
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
DOI :
10.1109/ICMLA.2011.120
