DocumentCode
3695191
Title
Efficient Scene text localization and recognition with local character refinement
Author
Lukáš Neumann;Jiří Matas
Author_Institution
Centre for Machine Perception, Department of Cybernetics, Czech Technical University, Prague, Czech Republic
fYear
2015
Firstpage
746
Lastpage
750
Abstract
An unconstrained end-to-end text localization and recognition method is presented. The method detects initial text hypothesis in a single pass by an efficient region-based method and subsequently refines the text hypothesis using a more robust local text model, which deviates from the common assumption of region-based methods that all characters are detected as connected components.
Keywords
"Public transportation","Text recognition","Estimation","Google","Image segmentation","Robustness"
Publisher
ieee
Conference_Titel
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type
conf
DOI
10.1109/ICDAR.2015.7333861
Filename
7333861
Link To Document