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ICPR
2002
IEEE

Reliable and Fast Eye Finding in Close-up Images

14 years 4 months ago
Reliable and Fast Eye Finding in Close-up Images
This paper describes a method for quickly and robustly localizing the iris and pupil boundaries of a human eye in close-up images. Such an algorithm can be critical for iris identification, or for applications that must determine the subject's gaze direction, e.g., human-computer interaction or driver attentiveness determination. A multi-resolution coarse-to-fine search approach is used, seeking to maximize gradient strengths and uniformities measured across rays radiating from a candidate iris or pupil's central point. An empirical evaluation of 670 eye images, both with and without glasses, resulted in a 98% localization accuracy. The algorithm has also shown robustness to weak illumination and most specular reflections (e.g., at eyewear and cornea), simplifying system component requirements. Rapid execution is achieved on a 750 MHz desktop processor. 1
Theodore A. Camus, Richard P. Wildes
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2002
Where ICPR
Authors Theodore A. Camus, Richard P. Wildes
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