Voter Identity Management Based on Frontal Facial Biometrics

By Lubasi Musambo

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.

• Format: Paperback
• Language: English
• ISBN: 3659580848
• ISBN13: 9783659580840
• Release Date: September 2019
• Publisher: LAP Lambert Academic Publishing
• Length: 68 Pages
• Weight: 0.25 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"