Mobile Multimodal Biometric System for Security

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dc.contributor.author El Nahal, Waleed
dc.date.accessioned 2020-03-03T15:34:09Z
dc.date.available 2020-03-03T15:34:09Z
dc.date.issued 2014-04
dc.identifier.issn 10.5120/15666-4041
dc.identifier.uri https://t.ly/JXbq8
dc.description.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. en_US
dc.description.uri https://www.scimagojr.com/journalsearch.php?q=21100867241&tip=sid&clean=0
dc.language.iso en_US en_US
dc.relation.ispartofseries International Journal of Computer Applications;Volume 89 – No 10, March 2014
dc.subject university of October University for Nomad Biometric Authentication (NOBA). en_US
dc.subject face recognition en_US
dc.subject Finger print en_US
dc.subject Biometric systems en_US
dc.title Mobile Multimodal Biometric System for Security en_US
dc.type Article en_US
dc.Affiliation October University for modern sciences and Arts (MSA)


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