Arabic character extraction and recognition using traversing approach
Joint Authors
Saudagar, Abd al-Khidr
Muhammad, Habib
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 3 (31 May. 2018)9 p.
Publisher
Publication Date
2018-05-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
The intention behind this research is to present an original work undertaken for Arabic character extraction and recognition for attaining higher percentage of recognition rate.
Copious techniques for character, text extraction were proposed in earlier decades, but very few of them shed light on Arabic character set.
From literature survey, it was found that 100 % recognition rate is not attained by earlier proposed implementations.
The proposed technique is novel and is based on traversing of the characters in a given text and marking their directions viz.
North-South (NS), East-West (EW), North East-South West (NE-SW), North West-South East (NW-SE) etc., in an array and comparing them with the pre-defined codes of every character in the dataset.
The experiments were conducted on Arabic news videos, documents taken from Arabic Printed Text Image (APTI) database and the results achieved from this research are very promising with a recognition rate of 98.1 %.
The proposed algorithm in this research work can replace the existing algorithms used in present Arabic Optical Character Recognition (AOCR) systems.
American Psychological Association (APA)
Saudagar, Abd al-Khidr& Muhammad, Habib. 2018. Arabic character extraction and recognition using traversing approach. The International Arab Journal of Information Technology،Vol. 15, no. 3.
https://search.emarefa.net/detail/BIM-839237
Modern Language Association (MLA)
Saudagar, Abd al-Khidr& Muhammad, Habib. Arabic character extraction and recognition using traversing approach. The International Arab Journal of Information Technology Vol. 15, no. 3 (May. 2018).
https://search.emarefa.net/detail/BIM-839237
American Medical Association (AMA)
Saudagar, Abd al-Khidr& Muhammad, Habib. Arabic character extraction and recognition using traversing approach. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 3.
https://search.emarefa.net/detail/BIM-839237
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839237