Title :
AraPen: An Arabic Online Handwriting Recognition System
Author :
Alsallakh, Bilal ; Safadi, Hani
Author_Institution :
Fac. of Informatics Eng., Damascus Univ.
Abstract :
In this paper we present AraPen, a trainable system we developed to recognize Arabic online handwriting. The system is based on mathematical matching techniques and our testing results show high recognition rate for non-cursive character recognition, and are promising for cursive recognition. The low memory and CPU requirements enable the system to run on low-end devices interactively
Keywords :
handwritten character recognition; image matching; natural languages; Arabic online handwriting recognition system; character recognition; mathematical matching; trainable system; Bandwidth; Character recognition; Handheld computers; Handwriting recognition; Humans; Keyboards; System testing; Taxonomy; Text recognition; Writing;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684669
