The ICDAR2011 Arabic Writer Identification Contest

Abdelaali Hassaine; Somaya Al-Maadeed; Jihad Mohamad Alja'am; Ali Jaoua; Ahmed Bouridane

doi:10.1109/ICDAR.2011.292

The ICDAR2011 Arabic Writer Identification Contest

Abdelaali Hassaine, Somaya Al-Maadeed, Jihad Mohamad Alja'am, Ali Jaoua, Ahmed Bouridane

Computer and Information Sciences Department

Research output: Contribution to conference › Paper › peer-review

36 Citations (Scopus)

Abstract

Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in Arabic writer identification. This competition was hosted by Kaggle, it has attracted thirty participants from both academia and industry. This paper gives details on this competition, including the evaluation procedure, description of participating methods and their performances.

Original language	English
DOIs	https://doi.org/10.1109/ICDAR.2011.292
Publication status	Published - Sept 2011
Event	2011 International Conference on Document Analysis and Recognition (ICDAR) - Beijing, China Duration: 1 Sept 2011 → …

Conference

Conference	2011 International Conference on Document Analysis and Recognition (ICDAR)
Period	1/09/11 → …

Keywords

educational institutions
feature extraction
handwriting recognition
image edge detection
support vector machines
text analysis
training

Access to Document

10.1109/ICDAR.2011.292

Cite this

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title = "The ICDAR2011 Arabic Writer Identification Contest",

abstract = "Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in Arabic writer identification. This competition was hosted by Kaggle, it has attracted thirty participants from both academia and industry. This paper gives details on this competition, including the evaluation procedure, description of participating methods and their performances.",

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author = "Abdelaali Hassaine and Somaya Al-Maadeed and Alja'am, {Jihad Mohamad} and Ali Jaoua and Ahmed Bouridane",

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AU - Hassaine, Abdelaali

AU - Al-Maadeed, Somaya

AU - Alja'am, Jihad Mohamad

AU - Jaoua, Ali

AU - Bouridane, Ahmed

PY - 2011/9

Y1 - 2011/9

N2 - Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in Arabic writer identification. This competition was hosted by Kaggle, it has attracted thirty participants from both academia and industry. This paper gives details on this competition, including the evaluation procedure, description of participating methods and their performances.

AB - Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in Arabic writer identification. This competition was hosted by Kaggle, it has attracted thirty participants from both academia and industry. This paper gives details on this competition, including the evaluation procedure, description of participating methods and their performances.

KW - educational institutions

KW - feature extraction

KW - handwriting recognition

KW - image edge detection

KW - support vector machines

KW - text analysis

KW - training

U2 - 10.1109/ICDAR.2011.292

DO - 10.1109/ICDAR.2011.292

M3 - Paper

T2 - 2011 International Conference on Document Analysis and Recognition (ICDAR)

Y2 - 1 September 2011

ER -

The ICDAR2011 Arabic Writer Identification Contest

Abstract

Conference

Keywords

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