Scene text recognition by learning co‐occurrence of strokes based on spatiality embedded dictionary
Text information contained in scene images is very helpful for high‐level image understanding. In this study, the authors propose to learn co‐occurrence of local strokes for scene text recognition by using a spatiality embedded dictionary (SED). Unlike spatial pyramid partitioning images into grids...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2015-02-01
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Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/iet-cvi.2014.0022 |