Iris segmentation techniques to recognize the behavior of a vigilant driver
This work addresses safety for vehicle drivers by enhancing vigilance monitoring, but it is incremental as it builds on existing iris segmentation methods.
The paper tackled driver vigilance recognition by developing a fuzzy logic system that uses iris segmentation and a new pupil position detection technique, achieving improved accuracy in noisy conditions.
In this paper, we clarify how to recognize different levels of vigilance for vehicle drivers. In order to avoid the classical problems of crisp logic, we preferred to employ a fuzzy logic-based system that depends on two variables to make the final decision. Two iris segmentation techniques are well illustrated. A new technique for pupil position detection is also provided here with the possibility to correct the pupil detected position when dealing with some noisy cases.