NDLI: Improving ATM security via face recognition

Content Provider	IEEE Xplore Digital Library
Author	Peter, K.J. Nagarajan, G. Glory, G.G.S. Devi, V.V.S. Arguman, S. Kannan, K.S.
Copyright Year	2011
Description	Author affiliation: IV year, Information Technology, Vins Christian College of Engineering, Nagercoil, India (Nagarajan, G.; Arguman, S.) \|\| Department of Statitics Manonmaniam Sundarnar University, Tirunelveli, Tamil Nadu, India (Kannan, K.S.) \|\| Nandha Engineering College, Erode, Tamil Nadu, India (Glory, G.G.S.) \|\| Dept of Information Technology, VINS Christian College of Engineering, Nagercoil, Tamil Nadu, India (Peter, K.J.) \|\| Dept of CSE, VINS Christian College of Engineering, Nagercoil, Tamil Nadu, India (Devi, V.V.S.)
Abstract	A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face recognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition is very complex technology and is largely software based. This Biometric Methodology establishes the analysis framework with PCA algorithms for each type of biometric device. Face recognition starts with a picture, attempting to find a person in the image. This can be accomplished using several methods including movement, skin tones, or blurred human shapes.
Starting Page	373
Ending Page	376
File Size	456211
Page Count	4
File Format	PDF
ISBN	9781424486786
e-ISBN	9781424486793
DOI	10.1109/ICECTECH.2011.5942118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Manifolds Biometric Databases ranked list Face recognition Educational institutions Three dimensional displays Face Principal component analysis PCA-Principal Component Analysis
Content Type	Text
Resource Type	Article

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