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Extraction of illumination invariant facial features from a single image using nonsubsampled contourlet transform
2010
Pattern Recognition
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In this paper, we propose to utilize the logarithmic nonsubsampled contourlet transform (LNSCT) to estimate the reflectance component from a single face image and refer it as the illumination invariant ...
feature for face recognition, where NSCT is a fully shift-invariant, multi-scale, and multidirection transform. ...
[20, 22, 27, 44] who have offered the code of LTV, DT-CWT, (Nonsubsampled) contourlet, and curvelet, respectively. ...
doi:10.1016/j.patcog.2010.06.019
fatcat:juuzhaqukvhfdeojsy6xbr2pyq
Face recognition based on nonsubsampled contourlet transform and block-based kernel Fisher linear discriminant
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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In this paper, we propose a novel face representation scheme based on nonsubsampled contourlet transform (NSCT) and block-based kernel Fisher linear discriminant (BKFLD). ...
Index Terms-Face representation, nonsubsampled contourlet transform, kernel Fisher linear discriminant, local binary pattern. ...
[8] proposed nonsubsampled contourlet transform (NSCT) by adopting nonsubsampled pyramid (NSP) and nonsubsampled filter banks (NSFB). ...
doi:10.1109/icassp.2012.6288183
dblp:conf/icassp/WangLL12
fatcat:bn2yvstgo5gm5b7vzlhan6wjti
Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform
2015
International Journal of Computer Applications
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We have proposed a novel approach that adds all the sub-bands at each pyramidal level of nonsubsampled contourlet transform to achieve a hybrid high frequency composite sub-band and minimize the dimensionality ...
Many state-of-the-art face recognition systems fail to identify a person when most portions of the face are occluded. ...
CONCLUSION In this paper, an efficient and robust eye-strip based person identification scheme is presented which utilizes nonsubsampled contourlet transform (NSCT) domain features extracted using Weber ...
doi:10.5120/21591-4681
fatcat:yko6ymieyfcvzdgkeuk7nrnwhq
A Novel NSCT based Illuminant Invariant Extraction with Optimized Edge Detection Technique for Face Recognition
2013
International Journal of Computer Applications
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ABTRACT A novel integrated approach for resolving the effect of illumination changes on face recognition is proposed. ...
For feature extraction, a normal shrink filter in NSCT domain denoising technique is applied which produces illuminant invariant for the given image. ...
Hence recent developments focus on Non subampled contourlet transfoms. This proposed work adopts a Normal Shrinkfilter in NSCT domain [1] to extract illumination invariant. ...
doi:10.5120/11940-7733
fatcat:xrzs6n6zdfd7nfp76hamhvlxeu
Contourlet appearance model for facial age estimation
2011
2011 International Joint Conference on Biometrics (IJCB)
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Compared to previously published age estimation techniques, our approach yields more accurate results when tested on various face aging databases. ...
In this paper we propose a novel Contourlet Appearance Model (CAM) that is more accurate and faster at localizing facial landmarks than Active Appearance Models (AAMs). ...
Nonsubsampled Contourlet Transform (NSCT) The Nonsubsampled Contourlet Transform [8] is a fully shift-invariant, multi-scale, and multi-directional transform that can separate strong edges, weak edges ...
doi:10.1109/ijcb.2011.6117601
dblp:conf/icb/LuuSSBS11
fatcat:lojphzbxnnatxduqt5y52wtntu
Multi-party Password-Authenticated Key Exchange Scheme with Privacy Preservation for Mobile Environment
2016
KSII Transactions on Internet and Information Systems
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In this paper, we propose a new automatic underwater image enhancement algorithm, which combines nonsubsampled contourlet transform (NSCT) domain enhancement techniques with the mechanism of the human ...
We apply the multiscale retinex algorithm based on the HVS into NSCT domain in order to eliminate the non-uniform illumination, and adopt the threshold denoising technique to suppress underwater noise. ...
Zhou et al. proposed nonsubsampled contourlet transform (NSCT) which is a shift-invariant version of CT [9, 10] . ...
doi:10.3837/tiis.2016.02.022
fatcat:jsjdjvbx5rf4bfuugguwhgbhbi
An efficient method for face feature extraction and recognition based on contourlet transforms and principal component analysis
2010
Procedia Computer Science
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In this paper, an efficient face recognition method based on the discrete contourlet transform using PCA and the Euclidean distance classifier is proposed. ...
Each face is decomposed using the contourlet transform. The contourlet coefficients of low and high frequency in different scales and various angles are obtained. ...
[13] proposed a multisensor image fusion method based on nonsubsampled Contourlet transform. ...
doi:10.1016/j.procs.2010.11.008
fatcat:tdqohucji5gctbk76aupgmadrq
An Efficient Method for Face Feature Extraction and Recognition based on Contourlet Transform and Principal Component Analysis using Neural Network
2010
International Journal of Computer Applications
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[16] proposed a faced recognition approach based on Contourlet transform. Yang et al. [13] proposed a multisensor image fusion method based on nonsubsampled Contourlet transform. ...
In the frequency domain, the Contourlet transform provides a multiscale and directional decomposition. ...
doi:10.5120/1066-1260
fatcat:6vj4lancfnc6bm5c3dwmj6feym
Combining NSCT and High Discrimination Features for Eye Location
2016
ICIC Express Letters
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To solve this problem, this paper proposes the algorithm of combining nonsubsampled contourlet transform (NSCT) and high discrimination features for eye location. ...
, improve the robustness for illumination changes and outperform the state-of-the-art approaches in terms of the accuracy of eye localization. ...
Local phase quantization (LPQ) [21, 22] is the feature extraction method in frequency domain based on discrete fourier transform (DFT). ...
doi:10.24507/icicel.10.11.2685
fatcat:gydbvvffendnjkovp4maiwj4tq
Efficient Gabor Phase Based Illumination Invariant for Face Recognition
2017
Advances in Multimedia
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This paper presents a novel Gabor phase based illumination invariant extraction method aiming at eliminating the effect of varying illumination on face recognition. ...
Experimental results on the Yale B and the CMU PIE face database show that our method obtained a significant improvement over other related methods for face recognition under large illumination variation ...
[18] presented two similar illumination invariant extraction methods in the nonsubsampled Contourlet transform (NSCT) domain. In 2011, Chen et al. ...
doi:10.1155/2017/1356385
fatcat:d2yqvrjbcvhibnvasdzx6vscpa
Robust local features for remote face recognition
2017
Image and Vision Computing
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In this paper, we propose a robust local descriptor for face recognition. It consists of two components, one based on a shearlet-decomposition and the other on local binary pattern (LBP). ...
Index Terms-robust local feature, remote face recognition 1. ...
We found that only the real part of the shearlet transformation in the Fourier domain is good for face recognition. ...
doi:10.1016/j.imavis.2017.05.006
fatcat:zipffckppbbstjngrgbnmnippa
Optimized multimodal biometric system based fusion technique for human identification
2020
Bulletin of Electrical Engineering and Informatics
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PC-based face recognition technique for improving the recognition rates of the faces that are affected due to varying illuminations, partial occlusions, and varying expressions was proposed and implemented ...
This paper presents three novelty aspects in developing biometric system-based face recognition software for human identification applications. ...
CONCLUSION This paper presented three new concepts in development of human identification system, based on the face recognition approaches. ...
doi:10.11591/eei.v9i6.2632
fatcat:z7lhpuwtefg3zbzt4jp7yaznyi
A New Face Image Recognition Algorithm Based on Cerebellum-Basal Ganglia Mechanism
2021
Journal of Healthcare Engineering
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Conventional face recognition algorithms based on nonsubsampled contourlet transform (NSCT) and bionic mode are not capable enough to recognize the similar faces with great accuracy. ...
One of the major challenges in face recognition is identification under numerous illumination environments by changing the direction of light or modifying the lighting magnitude. ...
of the three occlusion images are greater than 94%. e recognition rate of the techniques like NSCT (nonsubsampled contourlet transform) and bionic mode on facial image recognition algorithms is below ...
doi:10.1155/2021/3688881
pmid:34239707
pmcid:PMC8241525
fatcat:o475cko2ordmjfsqrloyvxffw4
Adversarial Reconstruction CNN for Illumination-Robust Frontal Face Image Recovery and Recognition
2021
International Journal of Cognitive Informatics and Natural Intelligence
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Face recognition results on the extended YaleB dataset demonstrate that the proposed ARCNN reconstruction procedure can also preserve the discriminative information of face image for classification task ...
This article proposes an adversarial reconstruction convolution neural network (ARCNN) for non-uniform illumination frontal face image recovery and recognition. ...
experiments on Illumination-Robust Face Recognition To verify that the reconstructed face images of ARCNN have superiority in maintaining identity discriminant information, face recognition experiments ...
doi:10.4018/ijcini.20210401.oa2
fatcat:y5g7z7e5zzdqjj36uchegydzoq
Analysis of Noteworthy Issues in Illumination Processing for Face Recognition
2015
IEICE transactions on information and systems
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In addition, we conduct evaluation experiments on 1) contribution of fundamental illumination correction to illumination insensitive face recognition and 2) comparative performance of various approaches ...
In this paper, we summarize and analyze some noteworthy issues in illumination processing for face recognition by reviewing various representative approaches. ...
Besides, more approaches making use of LT can be referred to the recently proposed methods using neighboring wavelet coefficients [45] , nonsubsampled contourlet transform [46] , total variation for ...
doi:10.1587/transinf.2014edp7112
fatcat:72iraq7miballlbnvbfaj6q6ru
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