Title :
GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition
Author :
Dozier, Gerry ; Purrington, Kamilah ; Popplewell, Khary ; Shelton, Joseph ; Abegaz, Tamirat ; Bryant, Kelvin ; Adams, Joshua ; Woodard, Damon L. ; Miller, Philip
Author_Institution :
Dept. of Comput. Sci., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
In this paper, we introduce the concept of genetic & evolutionary feature selection (GEFeS) for periocular biometric recognition. Our results show that GEFeS dramatically reduces the number of features needed for periocular recognition as well as increases recognition accuracy.
Keywords :
biometrics (access control); feature extraction; genetic algorithms; object recognition; GEFeS; evolutionary feature selection; genetic feature selection; periocular biometric recognition; Integrated circuits;
Conference_Titel :
Computational Intelligence in Biometrics and Identity Management (CIBIM), 2011 IEEE Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9899-4
DOI :
10.1109/CIBIM.2011.5949211
