FRAnC : a system for digital facial recognition

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dc.contributor.advisor Prof. S.H. von Solms en_US
dc.contributor.author Jacobs, Divan
dc.date.accessioned 2012-06-04T10:44:30Z
dc.date.available 2012-06-04T10:44:30Z
dc.date.issued 2012-06-04
dc.date.submitted 2010-05-27
dc.identifier.uri http://hdl.handle.net/10210/4798
dc.description M. Comm. en_US
dc.description.abstract Malicious acts such as fraud and terrorisms are continually becoming a more pressing threat. The need is growing daily for a cheap, non-intrusive technology, that does not make use of specialized equipment, which can identify individuals with or without their knowledge or permission, over the internet or in the public domain. The answer to this problem might be digital facial recognition, the authentication of a person according to the measurements and shape of his facial patterns (nodal points). Thus far the technology has primarily been used by law enforcement. The great strength of facial recognition is that it can scan multiple people in an area quickly, with or without their interaction with the system. The purpose of facial recognition surveillance is to implement it anywhere possible, for example shopping centres, street corners, hotel lobbies or train stations, and to be able to identify any individual finding himself in any of these areas. Also, if a larger system can be implemented, we would be able to track any individual wherever he goes. Through this, any suspicious character can be monitored and tracked if the need arises, ensuring that people can live in a much safer world. en_US
dc.language.iso en en_US
dc.subject FRAnC en_US
dc.subject Facial expression - Computer simulation en_US
dc.subject Human face recognition (Computer science) en_US
dc.title FRAnC : a system for digital facial recognition en_US
dc.type Thesis en_US

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