›› 2012, Vol. 25 ›› Issue (6): 17-.

• Articles • Previous Articles     Next Articles

Eye State Detection Based on Comparison of Eye Gray Area Feature and Eyelid Curvature

 ZHAO Heng-Wei   

  1. (School of Information and Control Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China)
  • Online:2012-06-15 Published:2012-08-23


In order to improve the defects of current eye state detection when used for fatigue monitoring,this paper proposes a new vision sensor-based comparison of eye gray area and eyelid curvature.Under the premise that the eyes area is found,the eye state is determined by extracting the features of the gray area and eyelid curvature characteristic features.Eye state detection in such complex environments as different backgrounds,changing illuminations,eye tilting and rotation,and wearing glasses shows that the algorithm has faster processing speed and robustness.

Key words: comparison of eye gray area;eyelid curvature;merge

CLC Number: 

  • TP391.41