Voter Identity Management Based on Frontal Facial Biometrics - Musambo, Lubasi;Phiri, Jackson
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Biometrics present a very accurate method to person identification, authentication and separation. Using Biometrics it is possible to develop a software model that can be used to perform authentication and identification in a voting process. This book illustrates a case of using frontal facial biometrics for country such as Zambia in performing voter identity management. The use of the frontal facial biometric model proposed would work very well for a country such as Zambia because of its' use of open source technology and already in-built frontal web camera existing on most clam-shell architecture computing resources.…mehr

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Produktbeschreibung
Biometrics present a very accurate method to person identification, authentication and separation. Using Biometrics it is possible to develop a software model that can be used to perform authentication and identification in a voting process. This book illustrates a case of using frontal facial biometrics for country such as Zambia in performing voter identity management. The use of the frontal facial biometric model proposed would work very well for a country such as Zambia because of its' use of open source technology and already in-built frontal web camera existing on most clam-shell architecture computing resources.
Autorenporträt
Lubasi Musambo possui um Mestrado em Engenharia de Segurança TIC da Universidade da Zâmbia e um Bacharelato em Ciências com distinção em TI da Universidade de Hertfordshire. É criador de um "modelo biométrico facial frontal" que automatiza o Sistema de Registo Civil da Zâmbia para o qual detém uma patente número CR/21/19 na Zâmbia.