This repo contains three parts of code:
- segmentation: segment character images out of a page.
- SNN: train an SNN model as the character images feature extractor.
- LM-GMM: decipher from transcriptions or image features.
cite our paper:
@article{DBLP:journals/corr/abs-1810-04297,
author = {Xusen Yin and
Nada Aldarrab and
Be{\'{a}}ta Megyesi and
Kevin Knight},
title = {Decipherment of Historical Manuscript Images},
journal = {CoRR},
volume = {abs/1810.04297},
year = {2018},
url = {http://arxiv.org/abs/1810.04297},
archivePrefix = {arXiv},
eprint = {1810.04297},
timestamp = {Tue, 30 Oct 2018 20:39:56 +0100},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1810-04297},
bibsource = {dblp computer science bibliography, https://dblp.org}
}