Face Recognition

Volume: 3    Issue: 2

Year of Publication: 2016

Pages: (10-15)

Authors: AJAY KUMAR, Ms. NAVDEEP KAUR

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Abstract

Biometric technology is the technology which helps in identifying an individual by using some fixed statistical techniques. These techniques are based on the physiological or behavioural traits. There are different techniques which are supported by the biometric such as iris recognition, finger print recognition, gait recognition, ear pattern, face recognition and many more. Every technique has its own advantages and disadvantages. The research on which we focussed is sorely based on the face biometric. The different biometrics is present by which the security can be improved such as iris scan, finger scan, palm/hand print, gait, ear pattern face recognition, many more. Face biometric offers the possibility of identifying an individual, without any person’s assistance and does not require an expert for interpreting the identification correlation results. In this paper different techniques are deliberated here. There are different techniques which are used for classification such as neural network, PCA and SVM.

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Keywords

Biometrics, face, ear, recognition, neural network, gait, SVM, PCA