On Combining Multiple Segmentations in Scene Text Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212556" target="_blank" >RIV/68407700:21230/13:00212556 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/~neumalu1/neumann-icdar2013.pdf" target="_blank" >http://cmp.felk.cvut.cz/~neumalu1/neumann-icdar2013.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDAR.2013.110" target="_blank" >10.1109/ICDAR.2013.110</a>
Alternative languages
Result language
angličtina
Original language name
On Combining Multiple Segmentations in Scene Text Recognition
Original language description
An end-to-end real-time scene text localization and recognition method is presented. The three main novel features are: (i) keeping multiple segmentations of each character until the very last st age of the processing when the context of each character in a text line is known, (ii) an efficient algori thm for selection of character segmentations minimizing a global criterion, and (iii) showing that, despit e using theoretically scale-invariant methods, operating on a coarse Gaussian scale space pyramidyields i mproved results as many typographical artifacts are eliminated. The method runs in real time and achieves state-of-the-art text localization results on the ICDAR 2011 Robust Reading dataset. Results are also repo rted for end-to-end text recognition on the ICDAR 2011 dataset.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICDAR 2013: Proceedings of the 12th International Conference on Document Analysis and Recognition
ISBN
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ISSN
1520-5363
e-ISSN
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Number of pages
5
Pages from-to
523-527
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Washington DC
Event date
Aug 25, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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