Robust and accurate iris segmentation in very noisy iris images

Image and Vision Computing

Volumn 28, Issue 2, 2010, Pages 246-253

  Li, Peihua ^a   Liu, Xiaomin ^a   Xiao, Lijuan ^a   Song, Qi ^a  

^a HEILONGJIANG UNIVERSITY   (China)

Author keywords

Integro differential operator; Iris segmentation; K Means clustering; RANSAC algorithm

Indexed keywords

BIOMETRICS; DIFFERENTIAL EQUATIONS; EDGE DETECTION; HOUGH TRANSFORMS; MATHEMATICAL OPERATORS; WATER SUPPLY SYSTEMS; WIRELESS SENSOR NETWORKS;

CO-OCCURRENCE HISTOGRAMS; COMPLEMENTARY METHODS; DETECTION APPROACH; EDGE DETECTORS; EVALUATION RESULTS; EYE POSITION; FOCUS OF ATTENTION; GRAY-LEVEL; ILLUMINATION CHANGES; IMAGE INFORMATION; INTEGRO DIFFERENTIAL OPERATOR; IRIS IMAGES; IRIS RECOGNITION SYSTEMS; IRIS SEGMENTATION; K-MEANS CLUSTERING; LOCALIZATION ALGORITHM; NOISY IMAGE; ORGANIZING COMMITTEE; RANDOM SAMPLE CONSENSUS; RANSAC ALGORITHM; SPECULAR HIGHLIGHT;

CLUSTERING ALGORITHMS;

EID: 70450221710     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2009.04.010     Document Type: Article

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