loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ashraf AbdelRaouf 1 ; Colin A. Higgins 2 ; Tony Pridmore 2 and Mahmoud I. Khalil 3

Affiliations: 1 Cloud brokerage company, United Arab Emirates ; 2 The University of Nottingham, United Kingdom ; 3 Ain Shams University, Egypt

ISBN: 978-989-758-018-5

Keyword(s): Arabic Character Recognition, Document Analysis & Understanding, Haar-like Features, Cascade Classifiers.

Related Ontology Subjects/Areas/Topics: Applications ; Character Recognition ; Classification ; Document Analysis and Understanding ; Feature Selection and Extraction ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: Optical Character Recognition (OCR) is an important technology. The Arabic language lacks both the variety of OCR systems and the depth of research relative to Roman scripts. A machine learning, Haar-Cascade classifier (HCC) approach was introduced by Viola and Jones (Viola and Jones 2001) to achieve rapid object detection based on a boosted cascade Haar-like features. Here, that approach is modified for the first time to suit Arabic glyph recognition. The HCC approach eliminates problematic steps in the pre-processing and recognition phases and, most importantly, the character segmentation stage. A recognizer was produced for each of the 61 Arabic glyphs that exist after the removal of diacritical marks. These recognizers were trained and tested on some 2,000 images each. The system was tested with real text images and produces a recognition rate for Arabic glyphs of 87%. The proposed method is fast, with an average document recognition time of 14.7 seconds compared with 15.8 seconds for commercial software. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.254.12

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
AbdelRaouf, A.; A. Higgins, C.; Pridmore, T. and I. Khalil, M. (2014). Fast Arabic Glyph Recognizer based on Haar Cascade Classifiers.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 350-357. DOI: 10.5220/0004925803500357

@conference{icpram14,
author={Ashraf AbdelRaouf. and Colin A. Higgins. and Tony Pridmore. and Mahmoud I. Khalil.},
title={Fast Arabic Glyph Recognizer based on Haar Cascade Classifiers},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={350-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004925803500357},
isbn={978-989-758-018-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Fast Arabic Glyph Recognizer based on Haar Cascade Classifiers
SN - 978-989-758-018-5
AU - AbdelRaouf, A.
AU - A. Higgins, C.
AU - Pridmore, T.
AU - I. Khalil, M.
PY - 2014
SP - 350
EP - 357
DO - 10.5220/0004925803500357

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.