hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Kategorisering av fakturor
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2000 (Swedish)Independent thesis Basic level (degree of Bachelor)Student thesis
Abstract [sv]
An invoice classification system designed for an industrial application is presented. Invoices are identified by matching logotypes or interpreting bank account numbers using OCR. Prior to identification it is necessary to reduce the number of possible invoice classes as they may amount to 50 000. Methods introduced in this report benefit from the fact that information unique to the supplier is primarily located to the upper part - called the header - of an invoice. In these parts a number of features are measured and these features span a multidimensional space. The distances from a given invoice to all possible classes are calculated and sorted. Very good results are achieved when a grid is applied to the header and for each cell the number of dots relative to the total number in the header is calculated. Sorting by Manhattan distance in this multidimensional space yields high numbers of first hits.
Place, publisher, year, edition, pages
2000.
Keywords [sv]
Invoice Classification, Pattern Recognition, Feature Extraction
Identifiers
URN: urn:nbn:se:hh:diva-8817Local ID: U2921OAI: oai:DiVA.org:hh-8817DiVA, id: diva2:363906
Uppsok
Technology
Note
Denna uppsats kan beställas från arkivet / This paper can be ordered from the archive. Kontakta / Contact: arkivet@hh.seAvailable from: 2010-11-09 Created: 2010-11-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

By organisation
School of Information Science, Computer and Electrical Engineering (IDE)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 72 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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