NDLI: Genetic-based feature fusion in face recognition using arithmetic coded local binary patterns

Content Provider	IET Digital Library
Author	Khanbebin, Saeed Najafi Mehrdad, Vahid
Abstract	Local binary patterns (LBPs) are one of the attempts for gathering local features with face recognition algorithms. Although the application of LBP's in many recognition contents is too apparent, these methods have limited accuracy because of their threshold value. One problem is earning one value for two different regions with a diverse pixel neighbourhood, which causes mistakes in feature vector and decreases the discriminative power. In this study, the authors proposed a modified LBP that covers the LBP's disadvantages. The proposed approach is arithmetic coded LBP (ACLBP) that uses arithmetic coding process during LBP calculation instead of applying original thresholds. The proposed policy addresses the problem of returning one similar LBP value for two different patches. Moreover, the proposed method modifies LBP by using a different threshold for calculating the pixels differences. Using this algorithm, the authors conducted a genetic-based feature fusion method by combining LBP and histogram of oriented gradients and ACLBP. The proposed approach could work better on LFW dataset, and the ORL dataset and Yale face dataset that shows the improving role of ACLBP in comparison with the earlier version of LBP.
Starting Page	3742
Ending Page	3750
Page Count	9
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 15, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2020.0394
Journal	IET Image Processing
Publisher Date	2020-12-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ACLBP Arithmetic Codes Arithmetic Coding Process Computer Vision And Image Processing Technique Different Patches Different Threshold Diverse Pixel Neighbourhood Face Recognition Face Recognition Algorithm Feature Extraction Feature Vector Fusion Method Genetic Algorithm Gradient Method Image And Video Coding Image Classification Image Coding Image Colour Analysis Image Fusion Image Recognition Image Texture Interpolation And Function Approximation LBP Calculation LBP's Disadvantages Local Binary Pattern Local Feature Modified LBP Numerical Analysis Optimisation Technique Original Thresholds Pixel Differences Recognition Contents Similar LBP Value Threshold Value
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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