Printed Arabic text recognition
Joint Authors
al-Hajj Hasan, F.
al-Hajj Ali, W.
Source
The Arabian Journal for Science and Engineering
Issue
Vol. 16, Issue 4(s) (31 Oct. 1991), pp.511-518, 8 p.
Publisher
King Fahd University of Petroleum and Minerals
Publication Date
1991-10-31
Country of Publication
Saudi Arabia
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
-This paper presents two printed Arabic text recognition systems.
Both of them use the same text segmentation procedure which segments the text effectively with a rate of 98 %.
The first system employs a syntactic-structural recognition method.
It has a large tolerance suitable for multifont recognition, and a recognition rate of about 90 %.
The second system is based on the principle of normalization and similarity detection.
It has a 99% recognition rate and the ability to learn new Arabic typewritten fonts rapidly
American Psychological Association (APA)
al-Hajj Hasan, F.& al-Hajj Ali, W.. 1991. Printed Arabic text recognition. The Arabian Journal for Science and Engineering،Vol. 16, no. 4(s), pp.511-518.
https://search.emarefa.net/detail/BIM-598559
Modern Language Association (MLA)
al-Hajj Hasan, F.& al-Hajj Ali, W.. Printed Arabic text recognition. The Arabian Journal for Science and Engineering Vol. 16, no. 4 (Oct. 1991), pp.511-518.
https://search.emarefa.net/detail/BIM-598559
American Medical Association (AMA)
al-Hajj Hasan, F.& al-Hajj Ali, W.. Printed Arabic text recognition. The Arabian Journal for Science and Engineering. 1991. Vol. 16, no. 4(s), pp.511-518.
https://search.emarefa.net/detail/BIM-598559
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 518
Record ID
BIM-598559
