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Användarverifiering från webbkamera
University of Skövde, School of Humanities and Informatics.
2007 (Swedish)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [sv]

Arbetet som presenteras i den här rapporten handlar om ansiktsigenkänning från webbkameror med hjälp av principal component analysis samt artificiella neurala nätverk av typen feedforward. Arbetet förbättrar tekniken med hjälp av filterbaserade metoder som bland annat används inom ansiktsdetektering. Dessa filter bygger på att skicka med redundant data av delregioner av ansiktet.

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 2007. , 29 p.
Keyword [sv]
Biometri, Ansiktsigenkänning, Principal Component Analysis, Artificiella Neurala Nätverk, Feedforward, Filter
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-72OAI: oai:DiVA.org:his-72DiVA: diva2:3121
Presentation
(English)
Uppsok
teknik
Supervisors
Examiners
Available from: 2007-06-14 Created: 2007-06-14 Last updated: 2009-04-20Bibliographically approved

Open Access in DiVA

fulltext(276 kB)362 downloads
File information
File name FULLTEXT01.pdfFile size 276 kBChecksum MD5
03f100e980126735db14f521c90e06a4e9d5e7942f5831f8a91fe5068ee0afc30f6f3285
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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