NDLI: Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform

Content Provider	IEEE Xplore Digital Library
Author	Kumar, T.S. Kanhangad, V.
Copyright Year	2015
Description	Author affiliation: Electr. Eng., Indian Inst. of Technol. Indore, Indore, India (Kumar, T.S.; Kanhangad, V.)
Abstract	Tunable-Q wavelet transform (TQWT) is a discrete wavelet transform that has been very effective in decomposing signals with oscillatory nature. In this paper, we develop a new two dimensional tunable-Q wavelet transform (2D-TQWT) using its 1D prototype and propose an approach for face recognition using 2D-TQWT. The proposed approach decomposes a face image into four sub bands. This is followed by extraction of local binary pattern based histogram features from different sub-bands. This extracted information is further combined to get the final representation. In order to evaluate the performance of the proposed 2D-TQWT based face recognition approach, experiments are carried out on two datasets namely, Yale and ORL face datasets. The performance of proposed approach is also compared with other existing wavelets. Experimental results show that the 2D-TQWT yields better recognition accuracy than other wavelets employed in our experiments for comparison.
Starting Page	1
Ending Page	7
File Size	285233
Page Count	7
File Format	PDF
e-ISBN	9781467367950
DOI	10.1109/DICTA.2015.7371261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Histograms Face recognition Feature extraction Face Approximation methods
Content Type	Text
Resource Type	Article

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

Face recognition based on DCT pyramid feature extraction

LBP based on multi wavelet sub-bands feature extraction used for face recognition

An improved LBP algorithm for avatar face recognition

Combined Face Recognition Using Wavelet Transform and Bayesian

Face recognition approach based on wavelet transform

3D facial expression analysis by using 2D AND 3D wavelet transforms

M-band wavelet transform in face recognition system

Palmprint Identification Using LBP and Different Representations

Avatar Face Recognition Using Wavelet Transform and Hierarchical Multi-scale LBP

Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform

Similar Documents

Face recognition based on DCT pyramid feature extraction

LBP based on multi wavelet sub-bands feature extraction used for face recognition

An improved LBP algorithm for avatar face recognition

Combined Face Recognition Using Wavelet Transform and Bayesian

Face recognition approach based on wavelet transform

3D facial expression analysis by using 2D AND 3D wavelet transforms

M-band wavelet transform in face recognition system

Palmprint Identification Using LBP and Different Representations

Avatar Face Recognition Using Wavelet Transform and Hierarchical Multi-scale LBP

Face Recognition Using Two-Dimensional Tunable-Q Wavelet Transform