NDLI: Study of automated face recognition system for office door access control application

Content Provider	IEEE Xplore Digital Library
Author	Ibrahim, R. Zin, Z.M.
Copyright Year	2011
Description	Author affiliation: Section of Industrial Automation, Universiti Kuala Lumpur-MFI, Bangi, Malaysia (Ibrahim, R.; Zin, Z.M.)
Abstract	The security currently become a very important issue in public or private institutions in which various security systems have been proposed and developed for some crucial processes such as person identifications, verification or recognition especially for building access control, suspect identifications by the police, driver licenses and many others. Face recognitions have been an active area of research with numerous applications since late 1980s and become one of the important elements in security system development. This paper focuses on the study and development on an automated face recognition system with the potential application for office door access control. The technique of eigenfaces based on the principle component analysis (PCA) and artificial neural networks have been applied into the system. The study includes the analysis of the influences of three main factors of face recognition namely illumination, distance and subject's head orientation on the developed face recognition system purposely built for office door access control. The experimental results have shown that the developed system has achieved good performance of face recognition rate of 80% at the distance of camera and subject between 40 cm to 60 cm and the subject's orientation head angle must be within the range of-20 to +20 degrees.
Starting Page	132
Ending Page	136
File Size	1380582
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Neural Network Face recognition Process control Face Principal Component Analysis Rotation measurement Door access Face Recognition Eigenface
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

Electronic Door Access Control using MyAccess Two-Factor Authentication Scheme featuring Near-Field Communication and Eigenface-based Face Recognition using Principal Component Analysis

Face Recognition Using Principle Component Analysis, Eigenface and Neural Network

The eigenface approach to automated face recognition.

Starovoitov V. Application of Recirculation Neural Network and Principal Component Analysis for Face Recognition (2001)

Feature extraction using evolutionary weighted principal component analysis

The design and implementation of automatic access control system based on the face recognition

Face recognition: A holistic approach review

Multiresolution eigenface-components

Access control by RFID and face recognition based on neural network

Study of automated face recognition system for office door access control application

Similar Documents

Electronic Door Access Control using MyAccess Two-Factor Authentication Scheme featuring Near-Field Communication and Eigenface-based Face Recognition using Principal Component Analysis

Face Recognition Using Principle Component Analysis, Eigenface and Neural Network

The eigenface approach to automated face recognition.

Starovoitov V. Application of Recirculation Neural Network and Principal Component Analysis for Face Recognition (2001)

Feature extraction using evolutionary weighted principal component analysis

The design and implementation of automatic access control system based on the face recognition

Face recognition: A holistic approach review

Multiresolution eigenface-components

Access control by RFID and face recognition based on neural network

Study of automated face recognition system for office door access control application