<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In this paper a novel face recognition algorithm, based on wavelet kernel non-negative matrix factorization (WKNMF), is proposed. By utilizing features from multi-resolution analysis, the nonlinear mapping capability of kernel nonnegative matrix factorization could be improved by the method proposed. The proposed face recognition method combines wavelet kernel non-negative matrix factorization and RBF network. Extensive experimental results on ORL and YALE face database show that the suggested method possesses much stronger analysis capability than the comparative methods. Compared with PCA, non-negative matrix factorization, kernel PCA and independent component analysis, the proposed face recognition method with WKNMF and RBF achieves over 10 % improvement in recognition accuracy.</p></abstract>

In this paper a novel face recognition algorithm, based on wavelet kernel non-negative matrix factorization (WKNMF), is proposed. By utilizing features from multi-resolution analysis, the nonlinear mapping capability of kernel nonnegative matrix factorization could be improved by the method proposed. The proposed face recognition method combines wavelet kernel non-negative matrix factorization and RBF network. Extensive experimental results on ORL and YALE face database show that the suggested method possesses much stronger analysis capability than the comparative methods. Compared with PCA, non-negative matrix factorization, kernel PCA and independent component analysis, the proposed face recognition method with WKNMF and RBF achieves over 10 % improvement in recognition accuracy.

Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization

School of Electronics and Control Engineering, Chang'An University, Xi’An 710064, Shaanxi

School of Electronics and Control Engineering, Chang'An University, Xi’An 710064, Shaanxi, China

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization"}

In this paper a novel face recognition algorithm, based on wavelet kernel non-negative matrix factorization (WKNMF), is proposed. By utilizing features from...

Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization

Publié en ligne: 05 nov. 2014

Pages: 37 - 45

DOI: https://doi.org/10.2478/cait-2014-0031

Mots clés
Face recognition, non-negative matrix factorization, RBF network, kernel method.

© by Lin Bai,

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Face Recognition Based on Wavelet Kernel Non-Negative Matrix Factorization

Publié en ligne: 05 nov. 2014

Pages: 37 - 45

DOI: https://doi.org/10.2478/cait-2014-0031

Mots clésFace recognition, non-negative matrix factorization, RBF network, kernel method.

© by Lin Bai,

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Face recognition, non-negative matrix factorization, RBF network, kernel method.