Eǧri̇sel Gabor özni̇teli̇kleri̇ i̇le yüz tanima

Translated title of the contribution: Face recognition using curvature Gabor features

Nuri Murat Arar, Hua Gao, Hazim Kemal Ekenel, Lale Akarun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a homogeneous Gabor feature based face recognition approach under uncontrolled conditions such as unexpected illumination changes, pose changes, blurring and facial expression changes. The system uses curvature Gabor features instead of conventional Gabor features, and the classifiers are obtained by applying PCLDA to the selected features. By combining some of the obtained classifiers using different fusion methods, good verification accuracies are achieved with low computational complexity. The system is tested on FRGC version 2.0 database, and it achieves 93.11% verification rate.

Translated title of the contributionFace recognition using curvature Gabor features
Original languageUndefined
Title of host publication2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
DOIs
StatePublished - 2012
Event2012 20th Signal Processing and Communications Applications Conference, SIU 2012 - Fethiye, Mugla, Turkey
Duration: Apr 18 2012Apr 20 2012

Publication series

Name2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings

Conference

Conference2012 20th Signal Processing and Communications Applications Conference, SIU 2012
Country/TerritoryTurkey
CityFethiye, Mugla
Period4/18/124/20/12

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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