liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Document Separation in Digital Mailrooms
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The growing mail volumes for businesses worldwide is one reason why theyare increasingly turning to digital mailrooms. A digital mailroom automaticallymanages the incoming mails, and a vital technology to its success isdocument classication. A problem with digital mailrooms and the documentclassication is separating the input stream of pages into documents.This thesis investigates existing classication theory and applies it to createan algorithm which solves the document separation problem. This algorithmis evaluated and compared against an existing algorithmic solution, over adataset containing real invoices.

Place, publisher, year, edition, pages
2015. , p. 47
Keywords [en]
digital mailrooms, separation, segmentation, classification
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-122406ISRN: LIU-IDA/LITH-EX-A-15/056-SEOAI: oai:DiVA.org:liu-122406DiVA, id: diva2:866224
External cooperation
Readsoft AB
Subject / course
Computer Engineering
Available from: 2015-11-06 Created: 2015-11-02 Last updated: 2018-01-10Bibliographically approved

Open Access in DiVA

fulltext(3347 kB)270 downloads
File information
File name FULLTEXT01.pdfFile size 3347 kBChecksum SHA-512
9c3e8affe37fe0b8a975d111b81cd4a5a7daf52f02dfdcd0527408fdfb7db459f1581359410e16f2645a458ff37521b56626c0aa47ea636ae35110fa73940840
Type fulltextMimetype application/pdf

By organisation
Artificial Intelligence and Intergrated Computer systems
Other Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 270 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 543 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf