Eye State Classification Based on Multi-feature fusion

摘要：

After the study of the infrared eye image, the paper proposes a method that fusing four features together to judge the eye state.The features are iris area, eye area, eye height and eyelid curvature. Compared to the method that only using single feature this method can overcome the shortcomings and realize the complementary of information. Also, it can obtain a higher correct rate of classification.

关键词： eye state information fusion Membership degree function

作者: Wenhui Dong Peishu Qu

作者单位: Department of Physics, Dezhou University, Dezhou 253023

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 231-234

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）