Paper
29 January 2007 Adding contextual information to improve character recognition on the Archimedes Palimpsest
Author Affiliations +
Proceedings Volume 6500, Document Recognition and Retrieval XIV; 650008 (2007) https://doi.org/10.1117/12.704471
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Derek J. Walvoord, Roger L. Easton Jr., and Roxanne L. Canosa "Adding contextual information to improve character recognition on the Archimedes Palimpsest", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650008 (29 January 2007); https://doi.org/10.1117/12.704471
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Optical character recognition

Pattern recognition

Photography

Nonlinear filtering

Associative arrays

Data modeling

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