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Optical Engineering

Fast and precise iris localization for low-resolution facial images
Author(s): Chun-Ning Meng; Tai-Ning Zhang; Pin Zhang; Sheng-Jiang Chang
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Paper Abstract

Fast and precise iris localization is a vital technique for face recognition, eye tracking, and gaze estimation. Low-resolution images bring about great difficulties for locating the iris precisely by traditional methods. In this paper, a fast and robust method to precisely detect the position and contour of the irises in low-resolution facial images is presented. A three-step coarse-to-fine strategy is employed. First, a gradient integral projection function is proposed to roughly detect the eye region, and the vertical integral projection function is adopted to select several possible vertical boundaries of the irises. Second, we have proposed a novel rectangular integro-variance operator to precisely locate both of the irises. Finally, the localization results are verified by two simple heuristic rules. A novel and more rigorous criterion is also proposed to evaluate the performance of the algorithm. Comparison experiments on images from the FERET and the Extended YaleB databases demonstrate that our method is more robust than traditional methods to scale variation, illumination changes, part occlusion, and limited changes of head poses in low-resolution facial images.

Paper Details

Date Published: 18 July 2012
PDF: 11 pages
Opt. Eng. 51(7) 077008 doi: 10.1117/1.OE.51.7.077008
Published in: Optical Engineering Volume 51, Issue 7
Show Author Affiliations
Chun-Ning Meng, Nankai Univ. (China)
Tai-Ning Zhang, Nankai Univ. (China)
Pin Zhang, Nankai Univ. (China)
Sheng-Jiang Chang, Nankai Univ. (China)


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