A highly accurate and computationally efficient approach for unconstrained iris segmentation

Image and Vision Computing

Volumn 28, Issue 2, 2010, Pages 261-269

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

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Biometrics; Color images; Hough transform; Image processing; Iris recognition; Iris segmentation; Noise reduction; Non circular iris boundary; Step length

Indexed keywords

ACOUSTIC NOISE MEASUREMENT; ALGORITHMS; CIRCULAR WAVEGUIDES; COMPETITION; DATABASE SYSTEMS; FLUORINE CONTAINING POLYMERS; HOUGH TRANSFORMS; IMAGE RECORDING; IMAGE SEGMENTATION; IMAGING SYSTEMS; INTERNATIONAL TRADE; NETWORK SECURITY; RESEARCH;

COLOR IMAGES; IRIS RECOGNITION; IRIS SEGMENTATION; NOISE REDUCTIONS; NON-CIRCULAR; NON-CIRCULAR IRIS BOUNDARY;

BIOMETRICS;

EID: 70449644503     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.04.017     Document Type: Article

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