@inproceedings{56d80c63eba04648855b53363d0672c3,
title = "Eǧr{\.i}sel Gabor {\"o}zn{\.i}tel{\.i}kler{\.i} {\.i}le y{\"u}z tanima",
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.",
author = "Arar, {Nuri Murat} and Hua Gao and Ekenel, {Hazim Kemal} and Lale Akarun",
year = "2012",
doi = "10.1109/SIU.2012.6204627",
language = "T{\"u}rk{\c c}e",
isbn = "9781467300568",
series = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
booktitle = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings",
note = "2012 20th Signal Processing and Communications Applications Conference, SIU 2012 ; Conference date: 18-04-2012 Through 20-04-2012",
}