NDLI: Local gradient-based illumination invariant face recognition using local phase quantisation and multi-resolution local binary pattern fusion

Content Provider	IET Digital Library
Author	Nikan, Soodeh Ahmadi, Majid
Abstract	A local-based illumination insensitive face recognition algorithm is proposed which is the combination of image normalisation and illumination invariant descriptors. Illumination insensitive representation of image is obtained based on the ratio of gradient amplitude to the original image intensity and partitioned into smaller sub-blocks. Local phase quantisation and multi-scale local binary pattern, extract the sub-regions characteristics. Distance measurements of local nearest neighbour classifiers are fused at the score level to find the best match and decision-level fusion combines the results of two matching techniques. Entropy, class posterior probability and mutual information are utilised as the weights of fusion components. Simulation results on the YaleB, Extended YaleB, AR, Multi-PIE and FRGC databases show the improved performance of the proposed algorithm under severe illumination with low computational complexity and no reconstruction or training requirement.
Starting Page	12
Ending Page	21
Page Count	10
ISSN	17519659
Volume Number	9
e-ISSN	17519667
Issue Number	Issue 1, Jan (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/9/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0792
Journal	IET Image Processing
Publisher Date	2014-07-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AR Database Class Posterior Probability Computer Vision And Image Processing Technique Decision-level Fusion Distance Measurement Entropy Extended YaleB Database Face Recognition FRGC Database Image Fusion Image Illumination Invariant Descriptors Image Matching Image Normalisation Image Recognition Image Representation Image Resolution Local Gradient-based Illumination Invariant Face Recognition Local Phase Quantisation Multi-PIE Database Multiresolution Local Binary Pattern Fusion Multiscale Local Binary Pattern Probability Quantisation (signal) Statistics SubRegion Characteristic Extraction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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