New Methods in Iris Recognition

University of Cambridge

PubMed
Indexed incrossrefpubmed

Abstract

This paper presents the following four advances in iris recognition: 1) more disciplined methods for detecting and faithfully modeling the iris inner and outer boundaries with active contours, leading to more flexible embedded coordinate systems; 2) Fourier-based methods for solving problems in iris trigonometry and projective geometry, allowing off-axis gaze to be handled by detecting it and "rotating" the eye into orthographic perspective; 3) statistical inference methods for detecting and excluding eyelashes; and 4) exploration of score normalizations, depending on the amount of iris data that is available in images and the required scale of database search. Statistical results are presented based on 200…

Citation impact

1,011
total citations
FWCI
54.66
Percentile
100%
References
8
Citations per year

Authors

1

Topics & keywords

Keywords
  • Artificial intelligence
  • Computer science
  • Orthographic projection
  • Iris recognition
  • Normalization (sociology)
  • Computer vision
  • IRIS (biosensor)
  • Biometrics
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