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Multi Level Security System Using Sensor Based Detection

Author(s):

P. Kowsalya , N.S.N.COLLEGE OF ENGINEERING AND TECHNOLOGY; M. Prasannan, N.S.N.COLLEGE OF ENGINEERING AND TECHNOLOGY; J. Jeba Stanly, N.S.N.COLLEGE OF ENGINEERING AND TECHNOLOGY; Dr. P. Gomathi, N.S.N.COLLEGE OF ENGINEERING AND TECHNOLOGY

Keywords:

Eigen vectors, Improved Principal component analysis (IPCA), Feature extraction, Discrete Wavelet Transform, visitor

Abstract

It is important to invent an active and useful security system that will help to detect unauthorized access on all combination. Hence it is essential necessary to implement a highly secure, economic and good face recognition system to enable the protection of computer systems from unauthorized access. So, in this paper a fast efficient approach is proposed for the recognition of human faces. Visitor record generally contains personal information about particular person along with photograph. To identify any Visitor we need some identification regarding person, which are given as viewer. In most cases the quality and resolution of the recorded image-segments is poor and hard to identify a face. To run-over this sort of problem we are enroot software. Identification can be done in many ways same fingerprint, eyes, DNA etc. One of the applications is face identification. The face is our initial focus of attention in social inter course playing a major role in conveying identity and desire. Although the ability to infer intelligence or character from facial appearance is suspect, the human ability to recognize face is singular. The operator first logs into the system by entering username and password. Then depending on the work automatically select the screens from main menu cover. The face that is finally formed is one which has visited.

Other Details

Paper ID: IJSRDV3I1181
Published in: Volume : 3, Issue : 1
Publication Date: 01/04/2015
Page(s): 514-517

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