NDLI: Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image

Content Provider	IEEE Xplore Digital Library
Author	Wonjun Hwang Xiangsheng Huang Kyungshik Noh Junmo Kim
Copyright Year	2011
Description	Author affiliation: CASIA, China (Xiangsheng Huang) \|\| Dept. of EE, KAIST, Korea (Junmo Kim) \|\| Samsung Electronics, Korea (Wonjun Hwang; Kyungshik Noh)
Abstract	We describe a face recognition framework based on Extended Curvature Gabor (ECG) Classifier Bunch. First we extend Gabor wavelet kernels into the ECG wavelet kernels by adding a spatial curvature term to the kernel and adjusting the width of the Gaussian at the kernel, which leads to extraction of numerous feature candidates from a low-resolution image. To handle them efficiently, we divide a pool of feature candidates into plural ECG wavelet coefficient sets according to different kernel parameters. For each ECG wavelet coefficient set, the boosting learning scheme selects significant features. A single ECG classifier is implemented by applying Linear Discriminant Analysis (LDA) to the selected feature, and then, to overcome the accuracy limitation of a single classifier, we propose the ECG classifier bunch that combines plural ECG classifiers by means of the proposed log-likelihood ratio-based score fusion scheme. For evaluations of the proposed method, we use Face Recognition Grand Challenge (FRGC) ver 2.0 experimental protocols and database. The proposed method shows an average of 90.67% verification rate on 2D face images under uncontrolled environmental variations.
Starting Page	15
Ending Page	22
File Size	1862635
Page Count	8
File Format	PDF
ISBN	9781457705298
ISSN	21607516
e-ISBN	9781457705304
DOI	10.1109/CVPRW.2011.5981697
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Face recognition Electrocardiography Feature extraction Face Kernel
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