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Proceedings Paper

Adding contextual information to improve character recognition on the Archimedes Palimpsest
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Paper Abstract

The objective of the character recognition effort for the Archimedes Palimpsest is to provide a tool that allows scholars of ancient Greek mathematics to retrieve as much information as possible from the remaining degraded text. With this in mind, the current pattern recognition system does not output a single classification decision, as in typical target detection problems, but has been designed to provide intermediate results that allow the user to apply his or her own decisions (or evidence) to arrive at a conclusion. To achieve this result, a probabilistic network has been incorporated into our previous recognition system, which was based primarily on spatial correlation techniques. This paper reports on the revised tool and its recent success in the transciption process.

Paper Details

Date Published: 29 January 2007
PDF: 9 pages
Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650008 (29 January 2007); doi: 10.1117/12.704471
Show Author Affiliations
Derek J. Walvoord, Rochester Institute of Technology (United States)
Roger L. Easton, Rochester Institute of Technology (United States)
Roxanne L. Canosa, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6500:
Document Recognition and Retrieval XIV
Xiaofan Lin; Berrin A. Yanikoglu, Editor(s)

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