2.50
Hdl Handle:
http://hdl.handle.net/10547/292573
Title:
Low-complexity iris recognition with oriented wavelets
Authors:
Velisavljević, Vladan ( 0000-0001-9980-9368 )
Abstract:
Iris recognition recently became an active field of biometric security because of reliability and easy non-invasive acquisition of the data. The randomness and stability of the iris textures allow for a convenient application in personal authentication and identification. In a novel iris recognition method presented here, the iris features are extracted using the oriented separable wavelet transforms (directionlets) and they are compared in terms of a weighted Hamming distance. The feature extraction and comparison are shift, size and rotation-invariant to the location of iris in the acquired image. The generated iris code is binary, whose length is fixed (and therefore commensurable), independent of the iris image, and comparatively short. The novel method shows a good performance when applied to a large database of irises and provides reliable identification and verification. At the same time, it preserves conceptual and computational simplicity and allows for a quick analysis and comparison of iris samples.
Citation:
Velisavljević, V. (2009) 'Low-complexity iris recognitionwith oriented wavelets', 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 November. Cairo: IEEE, pp.1953-1956.
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2009
URI:
http://hdl.handle.net/10547/292573
DOI:
10.1109/ICIP.2009.5413469
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5413469
Type:
Conference papers, meetings and proceedings
Language:
en
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorVelisavljević, Vladanen_GB
dc.date.accessioned2013-05-22T11:21:15Z-
dc.date.available2013-05-22T11:21:15Z-
dc.date.issued2009-
dc.identifier.citationVelisavljević, V. (2009) 'Low-complexity iris recognitionwith oriented wavelets', 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 7-10 November. Cairo: IEEE, pp.1953-1956.en_GB
dc.identifier.doi10.1109/ICIP.2009.5413469-
dc.identifier.urihttp://hdl.handle.net/10547/292573-
dc.description.abstractIris recognition recently became an active field of biometric security because of reliability and easy non-invasive acquisition of the data. The randomness and stability of the iris textures allow for a convenient application in personal authentication and identification. In a novel iris recognition method presented here, the iris features are extracted using the oriented separable wavelet transforms (directionlets) and they are compared in terms of a weighted Hamming distance. The feature extraction and comparison are shift, size and rotation-invariant to the location of iris in the acquired image. The generated iris code is binary, whose length is fixed (and therefore commensurable), independent of the iris image, and comparatively short. The novel method shows a good performance when applied to a large database of irises and provides reliable identification and verification. At the same time, it preserves conceptual and computational simplicity and allows for a quick analysis and comparison of iris samples.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5413469en_GB
dc.subjectiris recognitionen_GB
dc.subjectimage textureen_GB
dc.subjectwavelet transformsen_GB
dc.titleLow-complexity iris recognition with oriented waveletsen
dc.typeConference papers, meetings and proceedingsen
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