Header menu link for other important links
X
Periocular biometrics: When Iris recognition fails
S. Bharadwaj, H.S. Bhatt, ,
Published in
2010
Abstract
The performance of iris recognition is affected if iris is captured at a distance. Further, images captured in visible spectrum are more susceptible to noise than if captured in near infrared spectrum. This research proposes periocular biometrics as an alternative to iris recognition if the iris images are captured at a distance. We propose a novel algorithm to recognize periocular images in visible spectrum and study the effect of capture distance on the performance of periocular biometrics. The performance of the algorithm is evaluated on more than 11,000 images of the UBIRIS v2 database. The results show promise towards using periocular region for recognition when the information is not sufficient for iris recognition. © 2010 IEEE.
Figures & Tables (6)
  • Figure-0
    Fig. 1. Sample periocular images from the UBIRIS v2 database ... Expand
  • Figure-1
    Fig. 2. Examples of poor Segmentation (a) segmentation using ... Expand
  • Figure-2
    Fig. 4. LBP descriptor (a) Basic LBP and (b) Circular LBP.
  • Figure-3
    Fig. 3. Illustrates the prefiltered image and its GIST descriptor
  • Figure-4
    Fig. 5. Illustrates the steps of proposed fusion framework ... Expand
  • Figure-5
    Fig. 6. CMC results of all experiments: (a) Left, Right ... Expand
About the journal
JournalIEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010