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