Computer Science – Learning
Scientific paper
Jan 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008spie.6815e..27v&link_type=abstract
Document Recognition and Retrieval XV. Edited by Yanikoglu, Berrin A.; Berkner, Kathrin. Proceedings of the SPIE, Volume 6815,
Computer Science
Learning
Scientific paper
Building a system which allows to search a very large database of document images requires professionalization of hardware and software, e-science and web access. In astrophysics there is ample experience dealing with large data sets due to an increasing number of measurement instruments. The problem of digitization of historical documents of the Dutch cultural heritage is a similar problem. This paper discusses the use of a system developed at the Kapteyn Institute of Astrophysics for the processing of large data sets, applied to the problem of creating a very large searchable archive of connected cursive handwritten texts. The system is adapted to the specific needs of processing document images. It shows that interdisciplinary collaboration can be beneficial in the context of machine learning, data processing and professionalization of image processing and retrieval systems.
Schomaker Lambert
Valentijn Edwin
van der Zant Tijn
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