Real-Time Segmentation of On-Line Handwritten Arabic Script

George Kour; Raid Saabne

doi:10.1109/ICFHR.2014.76

Real-Time Segmentation of On-Line Handwritten Arabic Script

George Kour, Raid Saabne

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Real-time performance is necessary in applications involving on-line handwriting recognition. However, conventional approaches usually wait until the entire curve is traced out before starting the analysis, inevitably causing delays in the recognition process. In regards to the Arabic script, the postponed analysis may be attributed to the cursive and unconstrained nature of the Arabic writing system, in both printed and handwritten forms. Nevertheless, this paper proposes a real-time recognition-based segmentation technique of on-line Arabic script. It demonstrate the feasibility of carrying out the most time consuming tasks, required for the segmentation process, during the course of writing. The system has been designed and tested using the ADAB Database, and promising results were obtained.

Original language	English
Title of host publication	Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	417-422
Number of pages	6
ISBN (Electronic)	9781479943340
DOIs	https://doi.org/10.1109/ICFHR.2014.76
State	Published - 9 Dec 2014
Externally published	Yes
Event	14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 - Hersonissos, Crete Island, Greece Duration: 1 Sep 2014 → 4 Sep 2014

Publication series

Name	Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR
Volume	2014-December
ISSN (Print)	2167-6445
ISSN (Electronic)	2167-6453

Conference

Conference	14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014
Country/Territory	Greece
City	Hersonissos, Crete Island
Period	1/09/14 → 4/09/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Arabic script segmentation
handwriting recognition
on-line text segmentation

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICFHR.2014.76

Cite this

Kour, G., & Saabne, R. (2014). Real-Time Segmentation of On-Line Handwritten Arabic Script. In Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 (pp. 417-422). Article 6981055 (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR; Vol. 2014-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICFHR.2014.76

@inproceedings{bfb22a89366f422393fb2446539a177d,

title = "Real-Time Segmentation of On-Line Handwritten Arabic Script",

abstract = "Real-time performance is necessary in applications involving on-line handwriting recognition. However, conventional approaches usually wait until the entire curve is traced out before starting the analysis, inevitably causing delays in the recognition process. In regards to the Arabic script, the postponed analysis may be attributed to the cursive and unconstrained nature of the Arabic writing system, in both printed and handwritten forms. Nevertheless, this paper proposes a real-time recognition-based segmentation technique of on-line Arabic script. It demonstrate the feasibility of carrying out the most time consuming tasks, required for the segmentation process, during the course of writing. The system has been designed and tested using the ADAB Database, and promising results were obtained.",

keywords = "Arabic script segmentation, handwriting recognition, on-line text segmentation",

author = "George Kour and Raid Saabne",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014 ; Conference date: 01-09-2014 Through 04-09-2014",

year = "2014",

month = dec,

day = "9",

doi = "10.1109/ICFHR.2014.76",

language = "English",

series = "Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "417--422",

booktitle = "Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014",

address = "United States",

}

Kour, G & Saabne, R 2014, Real-Time Segmentation of On-Line Handwritten Arabic Script. in Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014., 6981055, Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, vol. 2014-December, Institute of Electrical and Electronics Engineers Inc., pp. 417-422, 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014, Hersonissos, Crete Island, Greece, 1/09/14. https://doi.org/10.1109/ICFHR.2014.76

Real-Time Segmentation of On-Line Handwritten Arabic Script. / Kour, George; Saabne, Raid.
Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 417-422 6981055 (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR; Vol. 2014-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Real-Time Segmentation of On-Line Handwritten Arabic Script

AU - Kour, George

AU - Saabne, Raid

PY - 2014/12/9

Y1 - 2014/12/9

N2 - Real-time performance is necessary in applications involving on-line handwriting recognition. However, conventional approaches usually wait until the entire curve is traced out before starting the analysis, inevitably causing delays in the recognition process. In regards to the Arabic script, the postponed analysis may be attributed to the cursive and unconstrained nature of the Arabic writing system, in both printed and handwritten forms. Nevertheless, this paper proposes a real-time recognition-based segmentation technique of on-line Arabic script. It demonstrate the feasibility of carrying out the most time consuming tasks, required for the segmentation process, during the course of writing. The system has been designed and tested using the ADAB Database, and promising results were obtained.

AB - Real-time performance is necessary in applications involving on-line handwriting recognition. However, conventional approaches usually wait until the entire curve is traced out before starting the analysis, inevitably causing delays in the recognition process. In regards to the Arabic script, the postponed analysis may be attributed to the cursive and unconstrained nature of the Arabic writing system, in both printed and handwritten forms. Nevertheless, this paper proposes a real-time recognition-based segmentation technique of on-line Arabic script. It demonstrate the feasibility of carrying out the most time consuming tasks, required for the segmentation process, during the course of writing. The system has been designed and tested using the ADAB Database, and promising results were obtained.

KW - Arabic script segmentation

KW - handwriting recognition

KW - on-line text segmentation

UR - http://www.scopus.com/inward/record.url?scp=84942251537&partnerID=8YFLogxK

U2 - 10.1109/ICFHR.2014.76

DO - 10.1109/ICFHR.2014.76

M3 - Conference contribution

AN - SCOPUS:84942251537

T3 - Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR

SP - 417

EP - 422

BT - Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014

Y2 - 1 September 2014 through 4 September 2014

ER -

Kour G, Saabne R. Real-Time Segmentation of On-Line Handwritten Arabic Script. In Proceedings - 14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 417-422. 6981055. (Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR). doi: 10.1109/ICFHR.2014.76

Real-Time Segmentation of On-Line Handwritten Arabic Script

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this