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Generalized hough transform for Arabic printed optical character recognition
Joint Authors
Bin Imarah, Najwa
Amiri, Hamid
Touj, Sufyan
Source
The International Arab Journal of Information Technology
Issue
Vol. 2, Issue 4 (31 Oct. 2005), pp.326-333, 8 p.
Publisher
Publication Date
2005-10-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The Hough Transform (HT) is a technique commonly used in image processing.
It is known for its capacity to detect objects in a given image.
In the present paper, we propose to explore the properties of the HT and the use of the Generalized HT (GHT) in Arabic Optical Character Recognition (AOCR).
Hence, we first present a GHT based approach for the recognition of Arabic printed characters in their different shapes depending on their position in the word.
Accordingly character models are stored in a structure called dictionary which is used further for text recognition.
In fact, we have proposed two segmentation-by-recognition techniques for cursive printed writing recognition.
The first one uses a technique by a dynamic sliding window.
The second one is based on the identification and the localization of the characters within a word or a part of a word called also sub word.
Some outcomes of this study are also assessed in this paper.
American Psychological Association (APA)
Touj, Sufyan& Bin Imarah, Najwa& Amiri, Hamid. 2005. Generalized hough transform for Arabic printed optical character recognition. The International Arab Journal of Information Technology،Vol. 2, no. 4, pp.326-333.
https://search.emarefa.net/detail/BIM-12310
Modern Language Association (MLA)
Touj, Sufyan…[et al.]. Generalized hough transform for Arabic printed optical character recognition. The International Arab Journal of Information Technology Vol. 2, no. 4 (Oct. 2005), pp.326-333.
https://search.emarefa.net/detail/BIM-12310
American Medical Association (AMA)
Touj, Sufyan& Bin Imarah, Najwa& Amiri, Hamid. Generalized hough transform for Arabic printed optical character recognition. The International Arab Journal of Information Technology. 2005. Vol. 2, no. 4, pp.326-333.
https://search.emarefa.net/detail/BIM-12310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 332
Record ID
BIM-12310