eprintid: 319
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/03/19
datestamp: 2023-11-09 15:15:57
lastmod: 2023-11-09 15:15:57
status_changed: 2023-11-09 15:14:18
type: conference_item
metadata_visibility: show
creators_name: Aburas, A.A.
creators_name: Gumah, M.E.
title: Arabic handwriting recognition: Challenges and solutions
ispublished: pub
keywords: Arabic characters; Arabic handwritings; Arabic text recognitions; High accuracies; Little researches; Optical-, Character recognition; Ionizing radiation, Information technology
note: cited By 12; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115
abstract: Optical Characters Recognition (OCR) is one of the active subjects of research since the early days of computer science. Even if Arabic characters are used by more than a half a billion people; Arabic characters recognition has not received enough interests by the researchers. Little research progress has been achieved comparing to what has been done with Latin and Chinese. The cursive nature of the Arabic characters makes it more difficult to achieve a high accuracy in character recognition since even printed Arabic characters are in cursive form. This paper presents the main challenges (difficulties) researchers are facing and up to dated solutions (the common methods) are used for Arabic text recognition. © 2008 IEEE.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349138419&doi=10.1109%2fITSIM.2008.4631744&partnerID=40&md5=61bfe7cfb9172269a828ccca8fbec097
id_number: 10.1109/ITSIM.2008.4631744
full_text_status: none
publication: Proceedings - International Symposium on Information Technology 2008, ITSim
volume: 2
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424423286
citation:   Aburas, A.A. and Gumah, M.E.  (2008) Arabic handwriting recognition: Challenges and solutions.  In: UNSPECIFIED.