NDLI: Different lighting processing and feature extraction methods for efficient face recognition

Content Provider	IET Digital Library
Author	Liang, Jiuzhen Wang, Mei Chai, Zhilei Wu, Qin
Abstract	This study studies different lighting processing and feature extraction methods for efficient face recognition. The purpose is to find some robust face recognition methods by combining different feature extraction methods with illumination compensation. In this study, some typical illumination preprocessing approaches are reviewed including wavelet transformation, self-quotient image, Retinex, smoothing, discrete cosine transform normalisation in logarithm domain, homomorphic filter and local contrast enhancement. As the main contribution, this study proposes two efficient feature extraction methods for face recognition. One is an adaptive feature extraction (AFE) based on curvelet transform. The other is a feature extraction technique named two-dimensional principal component analysis (2DPCA) non-parametric analysis of 2D subspace (2DPCA + 2DNSA). Two groups of experiments are designed to verify the proposed methods. The first group of experimental results show that the proposed AFE methods have better performance than conventional methods. In the second group of experiments, each feature extraction method is combined with nine different lighting processing methods. The results show that the proposed 2DPCA + 2DNSA method is more robust to lighting processing than other methods. Experimental results also show that lighting processing contribution to face recognition are quite different for different face databases.
Starting Page	528
Ending Page	538
Page Count	11
ISSN	17519659
Volume Number	8
e-ISSN	17519667
Issue Number	Issue 9, Sep (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/8/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0006
Journal	IET Image Processing
Publisher Date	2014-04-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Subspace 2DNSA Method 2DPCA Adaptive Feature Extraction AFE Method Computer Vision And Image Processing Technique Curvelet Transform Discrete Cosine Transform Discrete Cosine Transform Normalisation Face Database Face Recognition Feature Extraction Feature Extraction Method Filtering Method in Signal Processing Homomorphic Filter Illumination Compensation Illumination Preprocessing Approach Image Enhancement Image Recognition Integral Transforms Lighting Lighting Processing Method Local Contrast Enhancement Logarithm Domain Nonparametric Analysis Principal Component Analysis Retinex Robust Face Recognition Method Self-quotient Image Smoothing Method Statistics Two-dimensional Principal Component Analysis Wavelet Transform Wavelet Transformation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Illumination invariant face recognition using Discrete Cosine Transform and Principal Component Analysis

Curvelet-based illumination invariant feature extraction for face recognition

A comparative study of wavelet and Curvelet transform for face recognition

Investigation on Different Pre-processing Approaches for Face Recognition System

Illumination invariant face recognition in logarithm Discrete Cosine Transform domain

Application of bidirectional two-dimensional principal component analysis to curvelet feature based face recognition

Face recognition using curvelet based PCA

Combined Face Recognition Using Wavelet Transform and Bayesian

Face recognition using discrete cosine transform and fisher linear discriminant

Different lighting processing and feature extraction methods for efficient face recognition

Similar Documents

Illumination invariant face recognition using Discrete Cosine Transform and Principal Component Analysis

Curvelet-based illumination invariant feature extraction for face recognition

A comparative study of wavelet and Curvelet transform for face recognition

Investigation on Different Pre-processing Approaches for Face Recognition System

Illumination invariant face recognition in logarithm Discrete Cosine Transform domain

Application of bidirectional two-dimensional principal component analysis to curvelet feature based face recognition

Face recognition using curvelet based PCA

Combined Face Recognition Using Wavelet Transform and Bayesian

Face recognition using discrete cosine transform and fisher linear discriminant

Different lighting processing and feature extraction methods for efficient face recognition