Mobile Multimodal Biometric System for Security
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Date
2014-04
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Journal Title
Journal ISSN
Volume Title
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Article
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Series Info
International Journal of Computer Applications;Volume 89 – No 10, March 2014
Doi
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Abstract
Among our huge life requirements, the most important
requirement which has a vital role in our daily life is the
security. Recently using biometrics in the security systems has
a wide range of research interests since they provide systems
have more efficient, reliable, and secure than the others.
In the present time researches for mobile biometric devices
are provided with a fingerprint only which isn’t sufficient for
the areas where lawlessness and anarchy cases are existed
recently due to the current political situation in some
developing countries in Africa and Middle East where the rate
of crime increased significantly involving a large number of
people getting into the crime scene. Police departments are
unable to identify robbers and criminals due to the presence of
newly unrecorded ones with the lack of presence of a fixed
database holding records of widely known criminals.
So in this paper we propose a mobile biometric authentication
system (MOBAS) based on Zigbee technology and a
multimodal biometric authentication system in which the
primary biometric modalities adopted are the fingerprint and
the face recognition.
The proposed system aims to provide a mobile, light, user
friendly, reliable and secure biometric authentication system
to the police departments, and that will help the officers
anywhere to identify the criminals by taking a fingerprint or
capturing an image or both for different scenarios, sending
them wirelessly to the server at the appropriate police station
and then waiting for a response concerning the person’s
criminal record sent wirelessly from the police station and
displayed on a mobile biometric authentication device
(MOBA). According to the sent criminal record, the police
officers will take a suitable action towards this person.
Description
Keywords
university of October University for Nomad Biometric Authentication (NOBA)., face recognition, Finger print, Biometric systems