Title :
Trial Somaliland voting register de-duplication using iris recognition
Author :
Kevin W. Bowyer;Estefan Ortiz;Amanda Sgroi
Author_Institution :
Department of Computer Science &
fDate :
5/1/2015 12:00:00 AM
Abstract :
Face and fingerprint were used in de-duplication of the voter registration list for the 2010 Somaliland presidential election. Iris recognition was evaluated as a possible more powerful means of de-duplication of the voting register for the planned 2015 elections. On a trial dataset of 1,062 registration records, all instances of duplicate registration were detected and zero non-duplicates were falsely classified as duplicates, indicating the power of iris recognition for voting register de-duplication. All but a tiny fraction of the cases were classified by automatic matching, and the remaining cases were classified by forensic iris matching. Images in this dataset reveal the existence of unusual eye conditions that consistently cause false-non-match results. Examples are shown and discussed.
Keywords :
"Iris recognition","Forensics","Iris","Nominations and elections","Registers","Error analysis","Fingerprint recognition"
Conference_Titel :
Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on
DOI :
10.1109/FG.2015.7284833