|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
Space Symbol Detection On Complex Background Using Visual
Context |
|
Authors: |
Alexander Sheshkus, Vladimir Lovovich Arlazarov |
|
Published in:
|
(2015).ECMS 2015 Proceedings edited
by: Valeri M. Mladenov, Grisha Spasov, Petia Georgieva, Galidiya Petrova, European
Council for Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena (Varna), Bulgaria,
May 26th – 29th,
2015 |
|
Citation
format: |
Alexander Sheshkus,
Vladimir Lovovich Arlazarov
(2015). Space Symbol Detection On Complex Background Using Visual Context,
ECMS 2015 Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov, Galidiya Petrova European Council for Modeling
and Simulation. doi:10.7148/2015-0532 |
|
DOI: |
http://dx.doi.org/10.7148/2015-0532 |
|
Abstract: |
In this paper, we present a new
technique of space symbol detection in the task of monospaced
text recognition for credit cardholder name as an example. In the considered
case, standard methods fail or have low quality because of background
complexity and variability of symbol colors. Suggested method is based on the
usage of two conjoined symbol images as an input for artificial neural
network. This provides background visual context for the recognizer, which
helps it to distinguish between symbols and spaces. |
|
Full
text: |
|
