10-05-2012, 12:39 PM
Person Authentication using Face, Teeth and Voice Modalities
for Mobile Device Security
[attachment=21748]
INTRODUCTION
Biometrics technologies refer to identifying individuals
based on their distinguishing biological or behavioral traits.
These traits include face, speech, fingerprints, gait, hand-vein,
retina, iris, palm-print, ear, and signature. Biometric security
systems provide convenience and high stability to users, since
it is unnecessary to remember passwords or possess physical
tokens. The convenience of biometric security systems and
their acceptable authentication performance have led to the
integration of biometric systems into desktops, laptops, PDAs
and mobile-phones [1].
OVERVIEW OF PREVIOUSWORK
This section briefly outlines the previous multimodal
biometrics authentication approach that use teeth images and
voice as biometric traits [2]. Based on previous work, we
proposed an enhanced multimodal authentication approach to
achieve better performance by adding the face modality.
PROPOSEDMETHOD
This paper proposed an enhanced multimodal personal
authentication system that integrated information obtained
from face, teeth and voice modalities. The ultimate aim of the
proposed approach is to improve the overall authentication
performance of mobile device security by augmenting the face
modality in previous multimodal biometrics system using
teeth and voice modalities.
CONCLUSIONS
Mobile devices such as smart-phones, PDAs and mobilephones
are vulnerable to theft and loss due to their small size
and the environments in which they are used. A simple and
convenient authentication system is required to protect the
private information stored in mobile devices. Recently, there
have been many studies on multimodal biometric approaches
that integrate the information generated by multiple biometric
sources in a wide variety of fields, since they usually perform
better than the methods based on a single biometric trait.
for Mobile Device Security
[attachment=21748]
INTRODUCTION
Biometrics technologies refer to identifying individuals
based on their distinguishing biological or behavioral traits.
These traits include face, speech, fingerprints, gait, hand-vein,
retina, iris, palm-print, ear, and signature. Biometric security
systems provide convenience and high stability to users, since
it is unnecessary to remember passwords or possess physical
tokens. The convenience of biometric security systems and
their acceptable authentication performance have led to the
integration of biometric systems into desktops, laptops, PDAs
and mobile-phones [1].
OVERVIEW OF PREVIOUSWORK
This section briefly outlines the previous multimodal
biometrics authentication approach that use teeth images and
voice as biometric traits [2]. Based on previous work, we
proposed an enhanced multimodal authentication approach to
achieve better performance by adding the face modality.
PROPOSEDMETHOD
This paper proposed an enhanced multimodal personal
authentication system that integrated information obtained
from face, teeth and voice modalities. The ultimate aim of the
proposed approach is to improve the overall authentication
performance of mobile device security by augmenting the face
modality in previous multimodal biometrics system using
teeth and voice modalities.
CONCLUSIONS
Mobile devices such as smart-phones, PDAs and mobilephones
are vulnerable to theft and loss due to their small size
and the environments in which they are used. A simple and
convenient authentication system is required to protect the
private information stored in mobile devices. Recently, there
have been many studies on multimodal biometric approaches
that integrate the information generated by multiple biometric
sources in a wide variety of fields, since they usually perform
better than the methods based on a single biometric trait.