Text Recognition - Real World Data and Where to Find Them
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354244" target="_blank" >RIV/68407700:21230/21:00354244 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICPR48806.2021.9412868" target="_blank" >https://doi.org/10.1109/ICPR48806.2021.9412868</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICPR48806.2021.9412868" target="_blank" >10.1109/ICPR48806.2021.9412868</a>
Alternative languages
Result language
angličtina
Original language name
Text Recognition - Real World Data and Where to Find Them
Original language description
We present a method for exploiting weakly annotated images to improve text extraction pipelines. The approach uses an arbitrary end-to-end text recognition system to obtain text region proposals and their, possibly erroneous, transcriptions. The method includes matching of imprecise transcriptions to weak annotations and an edit distance guided neighbourhood search. It produces nearly error-free, localised instances of scene text, which we treat as "pseudo ground truth" (PGT).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 25th International Conference on Pattern Recognition (ICPR)
ISBN
978-1-7281-8808-9
ISSN
1051-4651
e-ISSN
1051-4651
Number of pages
8
Pages from-to
4489-4496
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Milan
Event date
Jan 10, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000678409204082