DocumentCode :
3695281
Title :
ICDAR2015 competition on Text Image Super-Resolution
Author :
Clément Peyrard;Moez Baccouche;Franck Mamalet;Christophe Garcia
Author_Institution :
Orange Labs, 4, rue du Clos Courtel, 35510 Cesson-Sé
fYear :
2015
Firstpage :
1201
Lastpage :
1205
Abstract :
This paper presents the first international competition on Text Image Super-Resolution (SR) and the ICDAR2015-TextSR dataset. We describe the core of the competition: interest, dataset generation and evaluation procedure, together with participating teams and their respective methods. The obtained results, along with baseline image upscaling schemes and state-of-the-art SR approaches are reported and commented. The main conclusion of this competition is that SR systems may improve OCR performances by up to 16.55 points in accuracy compared with bicubic interpolation for the proposed low resolution images.
Keywords :
"Image resolution","Optical character recognition software","Yttrium","Irrigation","Image recognition","TV","High definition video"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type :
conf
DOI :
10.1109/ICDAR.2015.7333951
Filename :
7333951
Link To Document :
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