research-article

IBN SINA: a database for research on processing and understanding of Arabic manuscripts images

Authors:

Reza Farrahi Moghaddam,

Mohamed Cheriet,

Mathias M. Adankon,

Kostyantyn Filonenko,

Robert WisnovskyAuthors Info & Claims

DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

Pages 11 - 18

https://doi.org/10.1145/1815330.1815332

Published: 09 June 2010 Publication History

Abstract

This paper describes the steps that have been undertaken in order to develop the IBN SINA database, which is designed to apply learning techniques in the processing and understanding of document images. The description of the preparation process, including preprocessing, feature extraction and labeling, is provided. The database has been evaluated using classification techniques, such as the SVM classifiers. In order to make the database compatible with these classifiers, the labels of the shapes have been translated into a set of bi-class problems. Promising results with the SVM classifiers have been obtained.

References

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H. Alamri, J. Sadri, C. Suen, and N. Nobile. A novel comprehensive database for Arabic off-line handwriting recognition. In ICFHR'08, 2008.

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Digital Library

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R. Farrahi Moghaddam and M. Cheriet. A robust word spotting system for historical arabic manuscripts based on skeleton features. IEEE Trans. on Systems, Man, and Cybernetics, Part B, Submitted.

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R. Farrahi Moghaddam and M. Cheriet. Application of multi-level classifiers and clustering for automatic word-spotting in historical document images. In ICDAR'09, pages 511--515, Barcelona, Spain, July 26--29 2009.

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R. Farrahi Moghaddam and M. Cheriet. RSLDI: Restoration of single-sided low-quality document images. Pattern Recognition, 42:3355--3364, 2009.

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A. Gacek. Arabic Manuscripts: A Vademecum for Readers. Handbook of Oriental Studies. Section 1 The Near and Middle East, 98. Leiden; Boston: Brill, 2009. ISBN-10: 90 04 17036 7.

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J. Hull. A database for handwritten text recognition research. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(5):550--554, 1994.

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S. Johansson, G. Leech, and H. Goodluck. Lancaster-oslo/bergen corpus, http://khnt.hit.uib.no/icame/manuals/lob/index.htm. Department of English, University of Oslo, Oslo, 1978.

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L. Lorigo and V. Govindaraju. Offline arabic handwriting recognition: a survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(5):712--724, 2006.

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U.-V. Marti and H. Bunke. The iam-database: an english sentence database for offline handwriting recognition. IJDAR, 5(1):39--46, Nov. 2002.

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R. Wisnovsky. Philosophy, Science and Exegesis in Greek, Arabic and Latin Commentaries, volume 2, chapter The nature and scope of Arabic philosophical commentary in post-classical (ca. 1100--1900 AD) Islamic intellectual history: Some preliminary observations, pages 149--191. Institute of Classical Studies, London, 2004.

Cited By

Al-Amoudi STaileb MJamal AAlmani N(2024)Word Spotting in Historical Arabic Documents Using Deep Learning2024 6th International Conference on Computing and Informatics (ICCI)10.1109/ICCI61671.2024.10485040(499-505)Online publication date: 6-Mar-2024
https://doi.org/10.1109/ICCI61671.2024.10485040
Bozorgi DKheirkhah ETavoli RSheibani R(2024)A novel word recognition system in Persian/Arabic handwritten words using stacking ensemble classifier of deep learningMultimedia Tools and Applications10.1007/s11042-024-20467-6Online publication date: 25-Nov-2024
https://doi.org/10.1007/s11042-024-20467-6
Maouloud SBa C(2024)New Transformer Approach to the Recognition of Mediaeval Arabic Historical ManuscriptsArtificial Intelligence and Its Practical Applications in the Digital Economy10.1007/978-3-031-71429-0_20(271-283)Online publication date: 18-Dec-2024
https://doi.org/10.1007/978-3-031-71429-0_20
Show More Cited By

Index Terms

IBN SINA: a database for research on processing and understanding of Arabic manuscripts images
1. Applied computing
  1. Arts and humanities
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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Published In

cover image ACM Other conferences

DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

June 2010

490 pages

ISBN:9781605587738

DOI:10.1145/1815330

General Chairs:
David Doermann
University of Maryland, College Park
,
Venu Govindaraju
University at Buffalo, SUNY
,
Daniel Lopresti
Lehigh University
,
Prem Natarajan
Raytheon BBN Technologies

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2010

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DAS '10

DAS '10: The Eighth IAPR International Workshop on Document Analysis Systems

June 9 - 11, 2010

Massachusetts, Boston, USA

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Cited By

Al-Amoudi STaileb MJamal AAlmani N(2024)Word Spotting in Historical Arabic Documents Using Deep Learning2024 6th International Conference on Computing and Informatics (ICCI)10.1109/ICCI61671.2024.10485040(499-505)Online publication date: 6-Mar-2024
https://doi.org/10.1109/ICCI61671.2024.10485040
Bozorgi DKheirkhah ETavoli RSheibani R(2024)A novel word recognition system in Persian/Arabic handwritten words using stacking ensemble classifier of deep learningMultimedia Tools and Applications10.1007/s11042-024-20467-6Online publication date: 25-Nov-2024
https://doi.org/10.1007/s11042-024-20467-6
Maouloud SBa C(2024)New Transformer Approach to the Recognition of Mediaeval Arabic Historical ManuscriptsArtificial Intelligence and Its Practical Applications in the Digital Economy10.1007/978-3-031-71429-0_20(271-283)Online publication date: 18-Dec-2024
https://doi.org/10.1007/978-3-031-71429-0_20
Kaur HKumar MGupta ASachdeva MMittal AKumar K(2023)Bagging: An Ensemble Approach for Recognition of Handwritten Place Names in Gurumukhi ScriptACM Transactions on Asian and Low-Resource Language Information Processing10.1145/359302422:7(1-25)Online publication date: 25-Jul-2023
https://dl.acm.org/doi/10.1145/3593024
Khan SNazir SKhan H(2023)Analysis of Cursive Text Recognition Systems: A Systematic Literature ReviewACM Transactions on Asian and Low-Resource Language Information Processing10.1145/359260022:7(1-30)Online publication date: 20-Jul-2023
https://dl.acm.org/doi/10.1145/3592600
Zoizou AZarghili AChaker I(2022)MOJ-DBPattern Recognition Letters10.1016/j.patrec.2022.04.040159:C(54-60)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.patrec.2022.04.040
Ghilas HGagaoua MTari ACheriet M(2021)Spatial Distribution of Ink at Keypoints (SDIK): A Novel Feature for Word Spotting in Arabic DocumentsInternational Journal of Image and Graphics10.1142/S021946782250035822:04Online publication date: 12-Jul-2021
https://doi.org/10.1142/S0219467822500358
Gagaoua MGhilas HTari ACheriet M(2021)Histogram of Marked Background (HMB) Feature Extraction Method for Arabic Handwriting RecognitionInternational Journal of Image and Graphics10.1142/S021946782250015222:02Online publication date: 24-Apr-2021
https://doi.org/10.1142/S0219467822500152
Pardakhti MMandal NMa AYang Q(2021)Practical Active Learning with Model Selection for Small Data2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA52953.2021.00263(1647-1653)Online publication date: Dec-2021
https://doi.org/10.1109/ICMLA52953.2021.00263
Elaiwat S(2021)Holistic word descriptor for lexicon reduction in handwritten arabic documentsPattern Recognition10.1016/j.patcog.2021.108072119:COnline publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1016/j.patcog.2021.108072
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