Eye State Classification Based on Multi-feature fusion

被引：5

作者：

Dong, Wenhui ^{[1
]}

Qu, Peishu ^{[1
]}

机构：

[1] Dezhou Univ, Dept Phys, Dezhou 253023, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

state; information fusion; Membership degree function;

D O I：

10.1109/CCDC.2009.5195119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：231 / 234

页数：4

共 9 条

[1]

DONG WH, 2008, CHIN CONTR DEC C

[2]

GU HS, 2004, P 6 IEEE INT C AUT F

[3]

LI L, 2003, CHINESE J IMAGE GRAP, V8, P1140

[4] Face learning using a sequence of images [J].

Mariani, R .

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2000, 14 (05) :631-648

[5]

MORIMOTO CH, 2000, P 4 IEEE INT C AUT F

[6] Information fusion in biometrics [J].

Ross, A ;

Jain, A .

PATTERN RECOGNITION LETTERS, 2003, 24 (13) :2115-2125

[7] Eye and gaze tracking for visually controlled interactive stereoscopic displays [J].

Talmi, K ;

Liu, J .

SIGNAL PROCESSING-IMAGE COMMUNICATION, 1999, 14 (10) :799-810

[8]

[吴小俊 Wu Xiaojun], 2004, [计算机工程与科学, Computer Engineering and Science], V26, P36

[9] Information fusion in face identification [J].

Zhang, WC ;

Shan, SG ;

Gao, W ;

Chang, YZ ;

Cao, B ;

Yang, P .

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, 2004, :950-953

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