Face Recognition as an Authentication Technique in Electronic Voting

In this research a Face Detection and Recognition system (FDR) used as an Authentication technique in online voting, which one of electronic is voting types, is proposed. Web based voting allows the voter to vote from any place in state or out of state. The voter’s image is captured and passed to a face detection algorithm (Eigenface or Gabor filter) which is used to detect his face from the image and save it as the first matching point. The voter’s National identification card number is used to retrieve and return his saved photo from the database of the Supreme Council elections (SCE) which is passed to the same detection algorithm (Eigenface or Gabor filter) to detect face from it and save it as second matching point. The two matching points are used by a matching algorithm to check wither they are identical or not. If the results of the matching algorithm are two point match then checks wither this person has the right to vote or not. If he has right to vote then a voting form is presented to him. The result shows that the proposed algorithm capable of finding over 90% of the faces in database and allows their voter to vote in approximately 58 seconds.

@article{El-Sayad2013,
  title     = {Face Recognition as an Authentication Technique in Electronic Voting},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {6},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Noha E. El-Sayad and Rabab Farouk Abdel-Kader and Mahmoud Ibraheem Marie},
  doi       = {10.14569/IJACSA.2013.040610},
  url       = {https://doi.org/10.14569/IJACSA.2013.040610}
}