A highly accurate and computationally efficient approach for unconstrained iris segmentation

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A highly accurate and computationally efficient approach for unconstrained iris segmentation Article

Chen, Yu, Adjouadi, Malek, Han, Changan et al. (2010). A highly accurate and computationally efficient approach for unconstrained iris segmentation . IMAGE AND VISION COMPUTING, 28(2), 261-269. 10.1016/j.imavis.2009.04.017

cited authors

Chen, Yu; Adjouadi, Malek; Han, Changan; Wang, Jin; Barreto, Armando; Rishe, Naphtali; Andrian, Jean

authors

publication date

February 1, 2010

webpage

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000273173100008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=e451fd656366bf1ec5554941920a9ccb

published in

IMAGE AND VISION COMPUTING Journal

keywords

Biometrics
Color images
Computer Science
Computer Science, Artificial Intelligence
Computer Science, Software Engineering
Computer Science, Theory & Methods
Engineering
Engineering, Electrical & Electronic
Hough transform
Image processing
Iris recognition
Iris segmentation
Noise reduction
Non-circular iris boundary
Optics
Physical Sciences
RECOGNITION
Science & Technology
Step length
Technology

Digital Object Identifier (DOI)

https://doi.org/10.1016/j.imavis.2009.04.017

publisher

ELSEVIER SCIENCE BV

start page

261

end page

269

volume

28

issue

2