A post processing system for global correction of Ocr generated errors

This thesis discusses the design and implementation of an OCR post processing system. The system is used to perform automatic spelling detection and correction on noisy, OCR generated text. Unlike previous post processing systems, this system works in conjunction with an inverted file database system. The initial results obtained from post processing 10,000 pages of OCR'ed text are encouraging. These results indicate that the use of global and local document information extracted from the inverted file system can be effectively used to correct OCR generated spelling errors.

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor dc:publisher

University of Nevada, Las Vegas

Year

1992

Author dc:creator

• Bullard, Bryan Edward

Contributors dc:contributor

• Kazem Taghva

Statement dc:rights

• IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

Language dc:language

English

Identifier

https://oasis.library.unlv.edu/rtds/254

OAI identifier oai:identifier

oai:oasis.library.unlv.edu:rtds-1253