A high speed algorithm for circular object location
Pattern Recognition Letters
Finding circles by an array of accumulators
Communications of the ACM
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
An efficient randomized algorithm for detecting circles
Computer Vision and Image Understanding
Robust Eye Centre Extraction Using the Hough Transform
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
An iterative algorithm for fast iris detection
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
Optimization of the texture-geometric image model for estimation of the face parameters
Automation and Remote Control
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A method is proposed to detect human iris location and size in digital image given some point lying inside the pupil. The method is based on construction of histograms, or projections of local brightness gradients, and combinations of projections' maxima being regarded as possible locations of pupil and iris borders. The method is notable for its low computational complexity and high tolerance to noise.