A new eye-state recognition algorithm under infrared conditions

作者：Qin, Hua-Biao^*; Liu, Jun; Lin, Jian-Wen

来源：Journal of Optoelectronics.laser, 2013, 24(12): 2392-2398.

• Feature descriptors
• Harsh environment
• Image credibility
• Infrared light sources
• Real time requirement
• Recognition accuracy
• Recognition algorithm
• State recognition

To solve the reduction of eye state recognition accuracy caused by complex illumination, rotation of the head and wearing glasses, this paper presents an innovative eye state recognition algorithm based on infrared image and morphology. Firstly, an active infrared light source with wavelength of 850 nm and a narrow band-pass optical filter placed in front of the camera are used to collect eye images. Then, the feature descriptor of eye contour and the direction chain code of eye skeleton image are extracted to detect the driver eye state. The image credibility mechanism is introduced in this method. The eye state is divided into three categories: eye opening, eye closure and untrusted states, which greatly reduces the false alarm rate of the algorithm in harsh environment. The experiment results show that the algorithm has a high robustness to the complex illumination, the rotation of the head, wearing glasses, etc. In the credible eye images set, the recognition accuracies of eye opening and eye closure are up to 95.21% and 92.03%, respectively, which are higher than other commonly used methods. Meanwhile, it can cope with more than 200 eye images per second, so it meets the real-time requirements in the real driving environment.

• 出版日期2013-12
• 单位华南理工大学