This paper describes the results of the ICDAR 2005 competition for locating text in camera captured scenes. For this we used the same data as the ICDAR 2003 competition, which has been kept private until now. This allows a direct comparison with the 2003 entries. The main result is that the leading 2005 entry has improved significantly on the leading 2003 entry, with an increase in average f-score from 0.5 to 0.62, where the f-score is the same adapted information retrieval measure used for the 2003 competition. The paper also discusses the web-based deployment and evaluation of text locating systems, and one of the leading entries has now been deployed in this way. This mode of usage could lead to more complete and more immediate knowledge...
Proposal for an informal benchmark on word recognition. See for the related ImUnipen collection of w...
This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS...
There is a significant need to objectively evaluate layout analysis (page segmentation and region cl...
International audienceThis paper describes the robust reading competitions for ICDAR 2003. With the ...
International audienceThis paper presents the results of the first Challenge of ICDAR 2011 Robust Re...
<p>Performances of different text detection methods evaluated on the ICDAR 2011 dataset <a href="htt...
A general review of text localization methods.Text information extraction is a growing area of resea...
International audienceThis paper presents the first international competitionon Text Image Super-Res...
This dataset contains the training and test set for the ICDAR 2017 Competition on Baseline Detection...
Several software tools index text of the World Wide Web, but little attention has been paid to the m...
Text detection in image is an important field. Reading text is challenging because of the variations...
Several software tools index text of the World Wide Web, but little attention has been paid to the m...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
Table understanding is a well studied problem in document analysis, and many academic and commercial...
ICDAR2015 competition on smartphone document capture and OCR (SmartDoc) Challenge 2: MOBILE OCR COM...
Proposal for an informal benchmark on word recognition. See for the related ImUnipen collection of w...
This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS...
There is a significant need to objectively evaluate layout analysis (page segmentation and region cl...
International audienceThis paper describes the robust reading competitions for ICDAR 2003. With the ...
International audienceThis paper presents the results of the first Challenge of ICDAR 2011 Robust Re...
<p>Performances of different text detection methods evaluated on the ICDAR 2011 dataset <a href="htt...
A general review of text localization methods.Text information extraction is a growing area of resea...
International audienceThis paper presents the first international competitionon Text Image Super-Res...
This dataset contains the training and test set for the ICDAR 2017 Competition on Baseline Detection...
Several software tools index text of the World Wide Web, but little attention has been paid to the m...
Text detection in image is an important field. Reading text is challenging because of the variations...
Several software tools index text of the World Wide Web, but little attention has been paid to the m...
This dataset comprises the dataset used for the ICDAR 2015 Competition on Handwritten Text Recognit...
Table understanding is a well studied problem in document analysis, and many academic and commercial...
ICDAR2015 competition on smartphone document capture and OCR (SmartDoc) Challenge 2: MOBILE OCR COM...
Proposal for an informal benchmark on word recognition. See for the related ImUnipen collection of w...
This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS...
There is a significant need to objectively evaluate layout analysis (page segmentation and region cl...