Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis

Sajad Farokhi; Siti Mariyam Shamsuddin; Jan Flusser; Usman Ullah Sheikh; Mohammad Khansari; Kourosh Jafari-Khouzani

doi:10.1117/1.JEI.22.1.013030

1 March 2013 Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis

Sajad Farokhi, Siti Mariyam Shamsuddin, Jan Flusser, Usman Ullah Sheikh, Mohammad Khansari, Kourosh Jafari-Khouzani

Author Affiliations +

Funded by: The Ministry of Higher Education, Agency of the Czech Republic, Czech Science Foundation (GA CR)

Journal of Electronic Imaging, Vol. 22, Issue 1, 013030 (March 2013). https://doi.org/10.1117/1.JEI.22.1.013030

Abstract

Face recognition is a rapidly growing research area, which is based heavily on the methods of machine learning, computer vision, and image processing. We propose a rotation and noise invariant near-infrared face-recognition system using an orthogonal invariant moment, namely, Zernike moments (ZMs) as a feature extractor in the near-infrared domain and spectral regression discriminant analysis (SRDA) as an efficient algorithm to decrease the computational complexity of the system, enhance the discrimination power of features, and solve the “small sample size” problem simultaneously. Experimental results based on the CASIA NIR database show the noise robustness and rotation invariance of the proposed approach. Further analysis shows that SRDA as a sophisticated technique, improves the accuracy and time complexity of the system compared with other data reduction methods such as linear discriminant analysis.

Citation Download Citation

Sajad Farokhi, Siti Mariyam Shamsuddin, Jan Flusser, Usman Ullah Sheikh, Mohammad Khansari, and Kourosh Jafari-Khouzani "Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis," Journal of Electronic Imaging 22(1), 013030 (1 March 2013). https://doi.org/10.1117/1.JEI.22.1.013030

Published: 1 March 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE