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
Link To Document :
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