Face Recognition, Near-Infrared

2015 ◽  
pp. 500-503
Author(s):  
Stan Z. Li ◽  
Dong Yi
Keyword(s):  
Face Recognition ◽  
Near Infrared

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

2013 ◽  
Vol 22 (1) ◽  
pp. 013030 ◽  
Author(s):  
Sajad Farokhi ◽  
Siti Mariyam Shamsuddin ◽  
Jan Flusser ◽  
Usman Ullah Sheikh ◽  
Mohammad Khansari ◽  
...  
Keyword(s):  
Face Recognition ◽  
Discriminant Analysis ◽  
Near Infrared ◽  
Zernike Moments ◽  
Spectral Regression

Face Recognition, Near-Infrared

2009 ◽  
pp. 352-355
Author(s):  
Stan Z. Li ◽  
Dong Yi
Keyword(s):  
Face Recognition ◽  
Near Infrared

Multispectral face spoofing detection using VIS–NIR imaging correlation

2018 ◽  
Vol 16 (02) ◽  
pp. 1840003 ◽  
Author(s):  
Xudong Sun ◽  
Lei Huang ◽  
Changping Liu
Keyword(s):  
Face Recognition ◽  
Near Infrared ◽  
Experimental Results ◽  
Security Systems ◽  
Local Descriptors ◽  
Confidence Factor ◽  
Nir Imaging ◽  
Spoofing Detection ◽  
Factor Map ◽  
Face Spoofing

With the wide applications of face recognition techniques, spoofing detection is playing an important role in the security systems and has drawn much attention. This research presents a multispectral face anti-spoofing method working with both visible (VIS) and near-infrared (NIR) spectra imaging, which exploits VIS–NIR image consistency for spoofing detection. First, we use part-based methods to extract illumination robust local descriptors, and then the consistency is calculated to perform spoofing detection. In order to further exploit multispectral correlation in local patches and to be free from manually chosen regions, we learn a confidence factor map for all the patches, which is used in final classifier. Experimental results of self-collected datasets, public Msspoof and PolyU-HSFD datasets show that the proposed approach gains promising results for both intra-dataset and cross-dataset testing scenarios, and that our method can deal with different illumination and both photo and screen spoofing.

Near infrared face recognition using Zernike moments and Hermite kernels

2015 ◽  
Vol 316 ◽  
pp. 234-245 ◽  
Author(s):  
Sajad Farokhi ◽  
Usman Ullah Sheikh ◽  
Jan Flusser ◽  
Bo Yang
Keyword(s):  
Face Recognition ◽  
Near Infrared ◽  
Zernike Moments
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