Ensemble Methods for Historical Machine-Printed Document Recognition

Ensemble Methods for Historical Machine-Printed Document Recognition

The usefulness of digitized documents is directly related to the quality of the extracted text. Optical Character Recognition (OCR) has reached a point where well-formatted and clean machine- printed documents are easily recognizable by current commercial OCR products; however, older or degraded mac...

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Bibliographic Details
Main Author: Lund, William B.
Format: Others
Published: BYU ScholarsArchive 2014
Subjects:
historical document recognition
optical character recognition
OCR
OCR error correction
multiple sequence alignment
MSA
text alignment
progressive alignment
machine learning
Computer Sciences
Online Access:https://scholarsarchive.byu.edu/etd/4024
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5023&context=etd

Internet

https://scholarsarchive.byu.edu/etd/4024
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5023&context=etd

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