A new approach for automatic Arabic-text detection and localisation in video frames
by Sadek Mansouri; Mbarek Charhad; Mounir Zrigui
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 22, No. 1/2, 2022

Abstract: Text embedded in video frames provides useful information for semantic indexing and browsing system. In this paper, we propose an efficient approach for automatic Arabic-text detection which combines edge information and maximally stable extremal region (MSER) method in order to extract text region candidates. These regions are, then, grouped and filtered on the basis of geometric properties such as area and orientation. Besides, we introduce a new geometric descriptor of Arabic text called baseline to improve the filtering process. Our proposed approach was tested on a large collection of Arabic TV news and experimental results have been satisfying.

Online publication date: Mon, 23-May-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com