Title :
Periocular biometrics in the visible spectrum: A feasibility study
Author :
Park, Unsang ; Ross, Arun ; Jain, Anil K.
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
Periocular biometric refers to the facial region in the immediate vicinity of the eye. Acquisition of the periocular biometric does not require high user cooperation and close capture distance unlike other ocular biometrics (e.g., iris, retina, and sclera). We study the feasibility of using periocular images of an individual as a biometric trait. Global and local information are extracted from the periocular region using texture and point operators resulting in a feature set that can be used for matching. The effect of fusing these feature sets is also studied. The experimental results show a 77% rank-1 recognition accuracy using 958 images captured from 30 different subjects.
Keywords :
biometrics (access control); eye; face recognition; feature extraction; image fusion; image matching; image texture; mathematical operators; eye vicinity; facial region; feasibility study; feature set fusion; feature set matching; global information extraction; image recognition; image texture; local information extraction; ocular biometrics; periocular biometric acquisition; point operator; visible spectrum; Biomedical imaging; Biometrics; Blood vessels; Computer science; Data mining; Eyebrows; Humans; Image recognition; Iris; Retina;
Conference_Titel :
Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-5019-0
Electronic_ISBN :
978-1-4244-5020-6
DOI :
10.1109/BTAS.2009.5339068