Liveness check algorithm based on eye movement model using SVM

Gang Deng; Bo Cao; Jun Miao; Wen Gao; Debin Zhao

Liveness check algorithm based on eye movement model using SVM

Gang Deng^*
, Bo Cao
, Jun Miao
, Wen Gao
, Debin Zhao

^*Corresponding author for this work

Faculty of Computing

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We solved the liveness check problem using a Support Vector Machine based eye movement model. We trained the eye movement model using many eye state examples. And in the liveness check procedure, the user has to blink his/her eyes to get through the check. The photos, which can not blink, are successfully stopped before entering the recognition stage.

Original language	English
Pages (from-to)	853-857
Number of pages	5
Journal	Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics
Volume	15
Issue number	7
State	Published - Jul 2003

Keywords

Eye movement model
Face identification
Face recognition
Liveness check
Support Vector Machine

Cite this

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title = "Liveness check algorithm based on eye movement model using SVM",

abstract = "We solved the liveness check problem using a Support Vector Machine based eye movement model. We trained the eye movement model using many eye state examples. And in the liveness check procedure, the user has to blink his/her eyes to get through the check. The photos, which can not blink, are successfully stopped before entering the recognition stage.",

keywords = "Eye movement model, Face identification, Face recognition, Liveness check, Support Vector Machine",

author = "Gang Deng and Bo Cao and Jun Miao and Wen Gao and Debin Zhao",

year = "2003",

month = jul,

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volume = "15",

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journal = "Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics",

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T1 - Liveness check algorithm based on eye movement model using SVM

AU - Deng, Gang

AU - Cao, Bo

AU - Miao, Jun

AU - Gao, Wen

AU - Zhao, Debin

PY - 2003/7

Y1 - 2003/7

N2 - We solved the liveness check problem using a Support Vector Machine based eye movement model. We trained the eye movement model using many eye state examples. And in the liveness check procedure, the user has to blink his/her eyes to get through the check. The photos, which can not blink, are successfully stopped before entering the recognition stage.

AB - We solved the liveness check problem using a Support Vector Machine based eye movement model. We trained the eye movement model using many eye state examples. And in the liveness check procedure, the user has to blink his/her eyes to get through the check. The photos, which can not blink, are successfully stopped before entering the recognition stage.

KW - Eye movement model

KW - Face identification

KW - Face recognition

KW - Liveness check

KW - Support Vector Machine

UR - https://www.scopus.com/pages/publications/0142060797

M3 - 文章

AN - SCOPUS:0142060797

SN - 1003-9775

VL - 15

SP - 853

EP - 857

JO - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics

JF - Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics

IS - 7

ER -

Liveness check algorithm based on eye movement model using SVM

Abstract

Keywords

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