@inproceedings{9d10861c69db4987b42aa2beb5e97d71,
title = "Author name recognition in degraded journal images",
abstract = "A method for extracting names in degraded documents is presented in this article. The documents targeted are images of photocopied scientific journals from various scientific domains. Due to the degradation, there is poor OCR recognition, and pieces of other articles appear on the sides of the image. The proposed approach relies on the combination of a low-level textual analysis and an image-based analysis. The textual analysis extracts robust typographic features, while the image analysis selects image regions of interest through anchor components. We report results on the University of Washington benchmark database.",
keywords = "Author Name, Degraded Documents, Journal title pages, Neural Network, Textual and image-based analysis",
author = "\{De Bodard De La Jacopi{\`e}re\}, Aliette and Laurence Likforman-Sulem",
year = "2006",
month = apr,
day = "17",
doi = "10.1117/12.643043",
language = "English",
isbn = "0819461075",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Document Recognition and Retrieval XIII - Proceedings of SPIE-IS and T Electronic Imaging",
note = "Document Recognition and Retrieval XIII ; Conference date: 18-01-2006 Through 19-01-2006",
}