NDLI: Automated face recogntion system: Multi-input databases

Content Provider	IEEE Xplore Digital Library
Author	Mohamed, M.A. Abou-Elsoud, M.E. Eid, M.M.
Copyright Year	2011
Description	Author affiliation: Department of Electronics and Communications, Faculty of Engineering, Mansoura University, Egypt (Mohamed, M.A.; Abou-Elsoud, M.E.; Eid, M.M.)
Abstract	There has been significant progress in improving the performance of computer-based face recognition algorithms over the last decade. Although algorithms have been tested and compared extensively with each other, there has been remarkably little work comparing the accuracy of computer-based human face recognition systems. We compared eight state-of-the-art face recognition algorithms with three different databases: (i) faces 94; (ii) Olivetti research lab (ORL), and (iii) Indian face database (IFD). The face detection phase had been performed using the morphological features. The recognition results had showed that in linear appearance based classifier; LDA performs better than ICA and PCA in terms of the accuracy of recognition. The computational overhead of LDA and the PCA are almost similar while ICA has a very long execution time. In addition, neural network based on DWT features perform better than classifiers based on other features with 99% recognition rate on the average.
Starting Page	273
Ending Page	280
File Size	2034963
Page Count	8
File Format	PDF
ISBN	9781457701276
e-ISBN	9781457701283
DOI	10.1109/ICCES.2011.6141055
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete Wavelet Transform (DWT) Face recognition Fast Fourier Transform (FFT) Independent Component Analysis (ICA) Fingerprint recognition Morphological operations Discrete Cosine Transform (DCT) Image segmentation biometrics Databases Linear Discriminant Analysis (LDA) Principal Component Analysis (PCA) Face Iris recognition
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