Paper Info
Title
Identifying useful features for recognition in near-infrared periocular images
Abstract
The periocular region is the part of the face immediately surrounding the eye, and researchers have recently begun to investigate how to use the periocular region for recognition. Understanding how humans recognize faces helped computer vision researchers develop algorithms for face recognition. Likewise, understanding how humans analyze periocular images could benefit researchers developing algorithms for periocular recognition. We presented pairs of periocular images to testers and asked them to determine whether the two images were from the same person or from different people. Our testers correctly determined the relationship between the two images in over 90% of the queries. We asked them to describe what features in the images were helpful to them in making their decisions. We found that eyelashes, tear ducts, shape of the eye, and eyelids were used most frequently in determining whether two images were from the same person. The outer corner of the eye and the shape of the eye were used a higher proportion of the time for incorrect responses than they were for correct responses, suggesting that those two features are not as useful.
Year
DOI
Venue
2010
10.1109/BTAS.2010.5634529
Biometrics: Theory Applications and Systems
Keywords
Field
DocType
computer vision,face recognition,feature extraction,infrared imaging,computer vision researchers,near-infrared periocular images,periocular recognition,periocular region,near infrared,shape,ducts,iris recognition,face
Facial recognition system,Iris recognition,Computer vision,Computer science,Feature extraction,Artificial intelligence,Tear ducts,Periocular Region
Conference
ISBN
Citations 
PageRank 
978-1-4244-7580-3
16
0.67
References 
Authors
9
3
Name
Order
Citations
PageRank
Karen Hollingsworth145220.39
Kevin W. Bowyer211121734.33
Patrick J. Flynn34405307.04