Degraded text recognition is a difficult task. Given a noisy text image, a word recognizer can be applied to generate several candidates for each word image. High-level knowledge sources can then be used to select a decision from the candidate set for each word image. In this paper, we propose that visual inter-word constraints can be used to facilitate candidate selection. Visual inter-word constraints provide a way to link word images inside the text page, and to interpret them systematically.
@article{arxiv.cmp-lg/9405012,
title = {Integration Of Visual Inter-word Constraints And Linguistic Knowledge In Degraded Text Recognition},
author = {Tao Hong},
journal= {arXiv preprint arXiv:cmp-lg/9405012},
year = {2008}
}
Comments
3 pages, PostScript File, to appear in the Proceedings of ACL-94, Student Session