BIOMETRIC AUTHENTICATION AN INTRODUCTION
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): K.R.BADHITI
Abstract: Providing security has become a challenging factor in today’s advanced computerized engineering and Technological environment. Traditional methods like memorizing passwords, carrying ID cards have their own draw backs. Biometric Authentication has become more and more reliable, secured and most convenient tool. Simply Biometrics refers to establishing identity based on the physical and behavioral characteristics of an individual such as face, fingerprint, hand geometry, iris, keystroke, signature, voice, etc. Biometric systems offer several advantages over traditional authentication schemes. They are inherently more reliable than password-based authentication as Biometric traits cannot be lost or forgotten.This paper explains various Biometric Traits which helps in authentication process and explain how iris is more reliable,when compared with other Biometrictraits.
- Publication Date: 27-May-2015
- DOI: 10.15224/978-1-63248-061-3-17
- Views: 0
- Downloads: 0
SIMULTANEOUS SIGNAL SEPARATION AND DENOISING IN DCT DOMAIN FOR WIRELESS COMMUNICATION APPLICATIONS
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): F. E. ABD EL-SAMIE , M. ELKORDY , O. ZAHRAN , R. ALI
Abstract: This paper addresses the problem of blind signal separation (BSS) for the system of multiple input and multiple output signals (MIMO). Different modulation techniques such as quadrature phase shift keying (QPSK), minimum shift keying (MSK), and Gaussian minimum shift keying (GMSK) have been considered. Several methods have been investigated to solve this problem such as principle component analysis (PCA), independent component analysis (ICA), and multi user kurtosis (MUK) algorithms. Different modulation techniques and different algorithms in the separation have been investigated to for comparison between results. In this paper, we propose wavelet denoising with PCA, ICA and MUK methods. We use the separation algorithm for the discrete cosine transforms (DCT) for blind of mixed signals, instead of separating the mixtures themselves, as a technique that achieves a great result in eliminating the noise. The proposed algorithm is used with multi user kurtosis (MUK) that used for blind of
- Publication Date: 27-May-2015
- DOI: 10.15224/978-1-63248-061-3-18
- Views: 0
- Downloads: 0