Iris Recognition in Less Constrained Environment

@inproceedings{Patil2013IrisRI,
  title={Iris Recognition in Less Constrained Environment},
  author={Pradeep M. Patil},
  year={2013}
}
Biometric based on the physical and behavioural characteristics are widely adopted and are used to recognize person uniquely in a natural and intuitive way. Biometric traits are unique to the individual. Among biometric traits such as face, signature, thumb etc, Iris biometric is the most reliable authentication method. Most of the commercial iris biometric systems operate in a constrained environment. Iris images captured in the constrained environment have sufficient information to… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 22 references

Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2008
View 4 Excerpts
Highly Influenced

Holambe,"Half-iris feature extraction and recognition using a new class of biorthogonal triplet half-band filter bank and flexible k-out-of-n:A Postclassifier,

Amol D. Rahulkar, S Raghunath
IEEE Trans. On Information Forensics And Security, • 2012

Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength

IEEE Transactions on Information Forensics and Security • 2011

Alexandre , " Iris segmentation methodology for noncooperative recognition , " in Proc . Inst . Elect . Eng . — Vision , Image Signal Process

Hugo Proenca
" Iris recognition : on the segmentation of degraded images acquired in the visible wavelength , " IEEE Trans . On Pattern Analysis and Machine Intelligence • 2010

Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength

IEEE Transactions on Pattern Analysis and Machine Intelligence • 2010
View 1 Excerpt

On a Methodology for Robust Segmentation of Nonideal Iris Images

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2010

Segmentation Using Geodesic Active Contours

Samir Shah, Arun Ross, ‖Iris
IEEE Trans. On Forensics And security, • 2009
View 2 Excerpts

New Methods in Iris Recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2007
View 3 Excerpts

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