A Multimodal Biometric System Using Linear Discriminant Analysis For Improved Performance

01/18/2012
by   Aamir Khan, et al.
0

Essentially a biometric system is a pattern recognition system which recognizes a user by determining the authenticity of a specific anatomical or behavioral characteristic possessed by the user. With the ever increasing integration of computers and Internet into daily life style, it has become necessary to protect sensitive and personal data. This paper proposes a multimodal biometric system which incorporates more than one biometric trait to attain higher security and to handle failure to enroll situations for some users. This paper is aimed at investigating a multimodal biometric identity system using Linear Discriminant Analysis as backbone to both facial and speech recognition and implementing such system in real-time using SignalWAVE.

READ FULL TEXT
research
04/19/2012

Speech Recognition: Increasing Efficiency of Support Vector Machines

With the advancement of communication and security technologies, it has ...
research
04/10/2020

Analyze and Development System with Multiple Biometric Identification

Cause of a rapid increase in technological development, increasing ident...
research
01/09/2021

Facial Biometric System for Recognition using Extended LGHP Algorithm on Raspberry Pi

In todays world, where the need for security is paramount and biometric ...
research
06/07/2020

Finger Texture Biometric Characteristic: a Survey

In recent years, the Finger Texture (FT) has attracted considerable a...
research
01/27/2018

A Multi-Biometrics for Twins Identification Based Speech and Ear

The development of technology biometrics becomes crucial more. To define...
research
05/21/2022

Evaluation of User Perception on Biometric Fingerprint System

Biometric systems involve security assurance to make our system highly s...
research
11/02/2021

BiosecurID: a multimodal biometric database

A new multimodal biometric database, acquired in the framework of the Bi...

Please sign up or login with your details

Forgot password? Click here to reset