Fatigue detection method based on human eye opening and closure state

The invention discloses a fatigue detection method based on the human eye opening and closure state, belonging to the technical field of image treatment and mode identification. The fatigue detection method comprises the following steps: firstly, converting a complexion sample into an HSV (hue, saturation and value) space, and training by a Gaussian model to obtain a complexion similarity image model; then, converting an image to be detected into a complexion similarity image under the model; extracting edges by an active contour model improved on the basis of information entropy, and partitioning the contour lines of human eyes; identifying the fatigue state by taking the obtained contour lines of human eyes as the basis; combining with the P80 criterion of PERCLOS (percent eye closure);and calculating the eye opening and closure degree within the unit interval so as to judge whether the eyes are fatigue. With the method, the human eye opening and closure state is identified according to the contour shape of