NDLI: Security Assurance Using Face Recognition & Detection System Based On Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Chandrasekaran, R.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY (Chandrasekaran, R.)
Abstract	In this paper, we have proposed a new method of implementing an assurance system using the facial information of the people, this is a different approach to the conventional security system which uses biometric information or cryptography for assurance, here we use an efficient self-scaling face recognition system supported with a face detection system, the system is capable enough to extract the human faces from a real time video and to recognize the people using a face recognition system, we are designing the framework for face recognition system with a hybrid RBF neural network, the real advantage of the system lies in its capability to inculcate some basic features of the self organizing map (SOM) so that the system can scale on its own and it doesn't get outdated with time, for the face detection system we use a content based face detection algorithm, the facial feature so detected is inputted into the face recognition system, if the person's information is already present in the system, authentication can be accomplished, this system can be used in public places like airports and supermarkets, the information of criminals can be stored in the system and in case any of the criminals are detected by the system, the security personnel can be signaled, this system can also be implemented in robotics, the system can help the computer to identify individual users distinctly, our facial recognition system has been tested and found to be persistent in recognizing the individual even if the input facial image is of different gesture or holds some extra lineament like beard, moustache or spectacles so we can definitely state that the system is reliable and efficient
File Size	4061635
File Format	PDF
ISBN	0780394224
DOI	10.1109/ICNNB.2005.1614810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Image recognition Face recognition Neural networks Information security Humans Face detection Cryptography Data mining Computer security
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