This code repository contains the implementation of Script Identification methods proposed in the following papers:
-
"A fine-grained approach to scene text script identification" (Gomez & Karatzas) to appear in DAS 2016 workshop proceedings
-
"Boosting patch-based scene text script identification with ensembles of conjoined networks" (Gomez, Nicolaou, and Karatzas) 2017 Pattern Recognition
Each code project is selfcontained in its own directory (1) UFL/ and (2) ECN/, and is totally independent of the other. They share a common github repository just because (2) is an evolution of (1).
See the README files on each directory for specific instructions on compiling/using this code.
Please, if you make use of any of this projects, we appreciate it if you cite the respective paper(s):
@inproceedings{GomezDAS2016,
author = {Lluis Gomez and Dimosthenis Karatzas},
title = {A fine-grained approach to scene text script identification},
booktitle = {DAS},
year = {2016},
}
@article{gomez2017improving,
title={Improving patch-based scene text script identification with ensembles of conjoined networks},
author={Gomez, Lluis and Nicolaou, Anguelos and Karatzas, Dimosthenis},
journal={Pattern Recognition},
volume={67},
pages={85--96},
year={2017},
publisher={Elsevier}
}
The Multi-Language end-to-end (MLe2e) dataset can be downloaded using the following link: