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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. , p. 29
Keywords [sv]
Biometri, Ansiktsigenkänning, Principal Component Analysis, Artificiella Neurala Nätverk, Feedforward, Filter
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:his:diva-72OAI: oai:DiVA.org:his-72DiVA, id: diva2:3121
Presentation
(English)
Uppsok
teknik
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Examiners
Available from: 2007-06-14 Created: 2007-06-14 Last updated: 2018-01-12Bibliographically approved

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fulltext(276 kB)580 downloads
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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf