Binary morphology and local statistics applied to iris segmentation for recognition

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 293-296

  Kennell, Lauren R ^a   Ives, Robert W ^a   Gaunt, Ruth M ^a  

^a UNITED STATES NAVAL ACADEMY   (United States)

Author keywords

Image edge analysis; Image processing; Image segmentation

Indexed keywords

BINARY MORPHOLOGY; CENTER OF MASS; EYE AREA; IMAGE EDGE ANALYSIS; IRIS RECOGNITION; IRIS SEGMENTATION; LOCAL STATISTICS; NEW APPROACHES; PUPIL BOUNDARY; UNIVERSITY OF BATH;

BIOMETRICS; IMAGING SYSTEMS; MORPHOLOGY;

IMAGE SEGMENTATION;

EID: 78649892621     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.313183     Document Type: Conference Paper

References (7)

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2. W. Kong and D. Zhang, "Accurate iris segmentation based on novel reflection and eyelash detection model," Proceedings of the 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 263-266, May 2001.
3. Q. Tian, Q. Pan, Y. Cheng and Q. Gao, "Fast algorithm and application of Hough transform in iris segmentation," Proceedings of the 2004 International Conference on Machine Learning and Cybernetics, Vol. 7, pp. 3977-3980, Aug. 2004.
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6. Robert W. Ives, Lauren R. Kennell, Ruth M. Gaunt and Delores M. Etter, "Iris segmentation for recognition using local statistics," Proceedings of the 39th Annual Asilomar Conference on Signals, Systems, and Computers, in press.
7. Monro, D. M., Rakshit, S., and Zhang, D, University of Bath, U.K. Iris Image Database, http://www.bath.ac.uk/elec-eng/pages/sipg/irisweb.