吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 265-269.

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Eye states detection algorithm based on phase information

SHI Dong-cheng, ZHENG Chao   

  1. College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2012-05-16 Published:2013-06-01

Abstract:

As different illumination scenes influenced on the result of the algorithm,we proposed an eye states detection algorithm based on phase information.After using phase congruency to extract the feature of eye,the result image and calculate the number of white pixels was culated to examine the eye states according to vortical histogram.The experimental result shows that it is robust to different illumination environments and has good accuracy.

Key words: eye states, phase congruency, feature extraction, phase information

CLC Number: 

  • TP391

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