By Topic

Digital Archiving and Data Mining of Historic Document

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Tabrizi, M.H.N. ; 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:

Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on

Date of Conference:

20-22 Dec. 2008