DocumentCode :
183465
Title :
ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets (HDSRC 2014)
Author :
Diem, Markus ; Fiel, Stefan ; Kleber, Florian ; Sablatnig, Robert ; Saavedra, Jose M. ; Contreras, David ; Barrios, Juan Manuel ; Oliveira, Luiz S.
Author_Institution :
Comput. Vision Lab., Vienna Univ. of Technol., Vienna, Austria
fYear :
2014
fDate :
1-4 Sept. 2014
Firstpage :
779
Lastpage :
784
Abstract :
This paper presents the results of the HDSRC 2014 competition on handwritten digit string recognition in challenging datasets organized in conjunction with ICFHR 2014. The general objective of this competition is to identify, evaluate and compare recent developments in Western Arabic digit string recognition with varying length. In addition, this competition introduces two new challenging datasets for benchmarking. We describe competition details including the datasets and evaluation measures used, and give a comparative performance analysis of six (6) participating methods along with a short description of the respective methodologies.
Keywords :
document image processing; handwritten character recognition; string matching; Competition on Handwritten Digit String Recognition in Challenging Datasets; HDSRC 2014; Western Arabic digit string recognition; document analysis; Databases; Educational institutions; Handwriting recognition; Image recognition; Image segmentation; Measurement; Noise; competition; digit; recognition; string;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on
Conference_Location :
Heraklion
ISSN :
2167-6445
Print_ISBN :
978-1-4799-4335-7
Type :
conf
DOI :
10.1109/ICFHR.2014.136
Filename :
6981115
Link To Document :
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