NDLI: 3D discrete wavelet transform-based feature extraction for hyperspectral face recognition

Content Provider	IET Digital Library
Author	Ghasemzadeh, Aman Demirel, Hasan
Abstract	Facial hyperspectral image analysis has become a popular topic since it provides additional spectral information on subjects unlike the 2D face imagery which only has spatial information, hence it has an opportunity to improve face recognition accuracy. Three new methods for feature extraction for facial hyperspectral image classification are proposed. The methods employ a three-dimensional discrete wavelet transform (3D-DWT) to extract features from facial hyperspectral images. One of the advantages of 3D-DWT for feature extraction in hyperspectral images is that the horizontal, vertical and spectral information are processed in parallel. The most important characteristic of 3D-DWT is decomposing hyperspectral images into a set of spatio-spectral frequency subbands. The study proposes three methods using 3D-DWT for feature extraction: 3D-subband energy, 3D-subband overlapping cube and 3D-global energy. The k-NN and collaborative representation-based classifier (CRC) are used to process extracted feature vector datasets, where classification accuracies are evaluated by four test scenarios. The results under different test scenarios revealed that accuracy of proposed 3D-DWT methods is superior to alternative methods using spatio-spectral classification.
Starting Page	49
Ending Page	55
Page Count	7
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0082
Journal	IET Biometrics
Publisher Date	2017-10-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Discrete Wavelet Transform-based Feature Extraction 3D-global Energy 3D-subband Energy 3D-subband Overlapping Cube Collaborative Representation-based Classifier Computer Vision And Image Processing Technique Discrete Wavelet Transform Face Recognition Facial Hyperspectral Image Analysis Facial Hyperspectral Image Classification Feature Extraction Feature Vector Datasets Horizontal Information Hyperspectral Face Recognition Hyperspectral Image Image Classification Image Recognition Integral Transforms K-NN Spatio-spectral Frequency SubBand Spectral Information Three-dimensional Discrete Wavelet Transform Vertical Information
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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