Elements of information theory
Elements of information theory
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
A review on Gabor wavelets for face recognition
Pattern Analysis & Applications
Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation
ICB '07 Proceedings of the international conference on Advances in Biometrics
Shape-Driven Gabor Jets for Face Description and Authentication
IEEE Transactions on Information Forensics and Security
Face authentication with Gabor information on deformable graphs
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
Generalized Gaussian (GG) densities have been recently proposed to model both real and imaginary parts of Gabor coefficients. However, when matching faces, most systems make use of magnitude information only, due to its smooth behavior with displacements. The first goal of this paper is to propose a novel statistical model for the magnitude of Gabor coefficients, supposed that both real and imaginary parts are GG distributed. The proposed model, namely the β-Rayleigh distribution, Rβ(σ), is a generalization of the standard Rayleigh, R(σ), density. The Kullback Leibler (KL) divergence is used to measure the fitting accuracy of the model, showing the benefits of Rβ(σ) over standard R(σ). The second goal of the paper tackles the selection of distance measures for Gabor features comparison, a topic that has received little attention in the literature. Inspired by the proposed statistical model, different lβ norms are tested on the XM2VTS database, showing interesting results that confirm that classical distances used in Gabor-based recognition systems do not provide the best performance.