Low-complexity iris recognition with oriented wavelets
dc.contributor.author | Velisavljević, Vladan | en_GB |
dc.date.accessioned | 2013-05-22T11:21:15Z | |
dc.date.available | 2013-05-22T11:21:15Z | |
dc.date.issued | 2009 | |
dc.identifier.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. | en_GB |
dc.identifier.doi | 10.1109/ICIP.2009.5413469 | |
dc.identifier.uri | http://hdl.handle.net/10547/292573 | |
dc.description.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. | |
dc.language.iso | en | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_GB |
dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5413469 | en_GB |
dc.subject | iris recognition | en_GB |
dc.subject | image texture | en_GB |
dc.subject | wavelet transforms | en_GB |
dc.title | Low-complexity iris recognition with oriented wavelets | en |
dc.type | Conference papers, meetings and proceedings | en |
html.description.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. |
This item appears in the following Collection(s)
-
Centre for Wireless Research (CWR)
The Centre for Wireless Research brings together expertise in the areas of mobile and wireless sensor networks. The breadth and depth of the expertise make the Centre rich with research and innovation potential.