DocumentCode
592014
Title
ICFHR 2012 Competition on Writer Identification Challenge 2: Arabic Scripts
Author
Hassaine, Abdulaali ; Maadeed, S.A.
Author_Institution
Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
fYear
2012
fDate
18-20 Sept. 2012
Firstpage
835
Lastpage
840
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 has been hosted on Kaggle, it has attracted forty-three teams from both academia and industry. This paper gives details on this competition, including the dataset used, the evaluation procedure and description of participating methods and their performances.
Keywords
document image processing; handwriting recognition; natural language processing; Arabic scripts; Arabic writer identification; ICFHR 2012 competition; Kaggle; evaluation procedure; standard benchmark; writer identification challenge; Benchmark testing; Educational institutions; Feature extraction; Handwriting recognition; Image edge detection; Kernel; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on
Conference_Location
Bari
Print_ISBN
978-1-4673-2262-1
Type
conf
DOI
10.1109/ICFHR.2012.218
Filename
6424501
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