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Digital Archiving and Data Mining of Historic Document

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1 Author(s)
M. H. N. Tabrizi ; Dept. of Comput. Sci., East Carolina Univ., Greenville, NC, USA

The development of research methodologies innovative technologies as described in this paper allows real time archival data extraction and assessment while ensuring preservation. The system establishes a new standard for electronic preservation, retrieval and research of manuscript and other materials. It uses computer-assisted technology for initial handwriting recognition of manuscript sources. This enables a search by word throughout an entire database. The data mining component of the system has been designed using lexicon, features extraction, and neural networks methods.

Published in:

2008 International Conference on Advanced Computer Theory and Engineering

Date of Conference:

20-22 Dec. 2008