Pupil and Iris Detection Algorithm for Near-Infrared Capture Devices

Abstract : In this paper a simple and robust solution for the pupil and iris detection is presented. The procedure is based on simple operations, such as erosion, dilation, binarization, flood filling and Sobel filter and, with proper implementation, is effective. The novelty of the approach is the use of distances of black points from nearest white points to estimate and then adjust the position of the center and the radius of the pupil which is also used for iris detection. The obtained results are promising, the pupil is extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris. The paper, being both review and research, contains also a state of the art in the described topic.
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Adam Szczepański, Krzysztof Misztal, Khalid Saeed. Pupil and Iris Detection Algorithm for Near-Infrared Capture Devices. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. pp.141-150, ⟨10.1007/978-3-662-45237-0_15⟩. ⟨hal-01405572⟩

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