DocumentCode :
2197815
Title :
Digital Archiving and Data Mining of Historic Document
Author :
Tabrizi, M.H.N.
Author_Institution :
Dept. of Comput. Sci., East Carolina Univ., Greenville, NC, USA
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
19
Lastpage :
23
Abstract :
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.
Keywords :
data mining; document handling; feature extraction; handwriting recognition; information retrieval; neural nets; archival data assessment; archival data extraction; computer-assisted technology; data mining; digital archiving; electronic preservation; features extraction; handwriting recognition; historic document; lexicon; manuscript research; manuscript retrieval; manuscript sources; neural network; word search; Computer science; Data engineering; Data mining; Feature extraction; Handwriting recognition; History; Image databases; Libraries; Materials science and technology; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
Type :
conf
DOI :
10.1109/ICACTE.2008.220
Filename :
4736916
Link To Document :
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