Change search
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
Face Classification Based on Linguistic Description of Facial Features
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-9920-7946
2014 (English)Conference paper, (Refereed) Published
Abstract [en]

This paper presents an Artificial Intelligence approach towards classification of persons based on a verbal description of their facial features. Face features are extracted by use of an existing detection techniques, such as measurements of horizontal and vertical size of the facial elements like nose, eyes, etc. This approach allows to create fuzzy sets representing selected facial features. What is important, linguistic variables corresponding to the fuzzy sets conform the terminology applied by law enforcement to create an eyewitness verbal description. Then, fuzzy IF-THEN rules are employed for classification both the facial composites (sketches) and usual images from face databases. With regard to this concept, satisfactory results have been obtained and presented.

Place, publisher, year, edition, pages
Zakopane, Poland: Springer , 2014.
Keyword [en]
Classification of persons, Description of facial features, Fuzzy IF-Then rules, Images from face database
National Category
Mathematics Computer Science
Identifiers
URN: urn:nbn:se:bth-6691Local ID: oai:bth.se:forskinfo63E0A8F301E06636C1257CFF00474A23ISBN: 978-3-319-07175-6 (print)OAI: oai:DiVA.org:bth-6691DiVA: diva2:834215
Conference
Artificial Intelligence and Soft Computing - 13th International Conference (ICAISC)
Note
2014 Lecture Notes in Computer Science 8468Available from: 2014-06-24 Created: 2014-06-22 Last updated: 2016-09-20Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Rakus-Andersson, Elisabeth
By organisation
Department of Mathematics and Natural Sciences
MathematicsComputer Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 95 hits
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