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In order to solve the problems of low accuracy caused by light changes in fatigue detection system, a method is proposed to judge the state of eyes in near infrared environment. i.e., it is a detection method for eyes state recognition of infrared images. First of all, it uses the grid method to mark eye's pupil and uses Retinex algorithm to enhance the infrared image based on the human eyes region located by Adaboost algorithm. Then, a grid method is adopted to calculate the closure of eyes after binaryzation and edge detection respective, which is related to bright pupil effect. Finally, the state of eyes is determined by setting the dual-threshold based on the results of the closure of eyes, which is combined with PERCLOS. Besides, The tests on the hardware platform of DM642 shows that the human eyes recognition rate is more than 90%, and the average processing speed is 21 images per second. It has proved that the method can not only solve the problems caused by light changes, but also meet the requirement of rapidity, accuracy and validity of the fatigue detection system.