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