Iris recognition using circular symmetric filters

By Li Ma, Yunhong Wang, Tien-Ping Tan. Object recognition supported by user interaction for service robots, 2002

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Recognition of Human Iris Patterns for Biometric Identification (2003, unknown): “[16].”
Efficient iris recognition by characterizing key local variations (2004, methodology): “Our earlier attempts to iris recognition developed the texture analysis-based methods [14], [17], [18] and a local intensity variation analysis-based method [37].”
Personal Identification Based on Iris Texture Analysis (2003, background): “3, the second image is out of focus, the third one contains many noticeable interlacing lines (especially in regions close to the boundary) caused by eye motion, and the last one is an example of severe occlusions by eyelids and eyelashes.”
Image understanding for iris biometrics: A survey (2008, methodology): “[94] chose a different part of the iris.”
Combining Face and Iris Biometrics for Identity Verification (2003, methodology): “The iris images used in our system come from the NLPR iris database.”
Iris Segmentation Using Geodesic Active Contours (2009, methodology): “Huang et al. [15] first coarsely segment the iris using edge detection filters and Hough transform before normalizing it.”