Robust virtual unrolling of historical parchment XMT images
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 95727227
- Type
- D - Journal article
- DOI
-
10.1109/TIP.2017.2783626
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 1914
- Volume
- 27
- Issue
- 4
- ISSN
- 1057-7149
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1109/TIP.2017.2783626
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
V - Visual computing
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Many historical documents are too fragile to be opened, making their contents inaccessible. Existing work has used X-ray scans to extract text in a non-destructive manner, but requires substantial manual interaction. Our new techniques use minimal manual interaction, and were deployed on a 15th-century scroll that had suffered water damage and had become stuck together. This work received national media coverage including the BBC (https://www.bbc.co.uk/news/uk-wales-45734251) and Daily Mail (https://www.dailymail.co.uk/sciencetech/article-6235837/Tudor-parchment-burned-fused-centuries-old-accident-deciphered-X-RAY.html), and led to further collaborations with the British Museum.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -