Enhancing eye movement based biometric identification method by using voting classifiers

Paweł Kasprowski; Józef Ober

doi:10.1117/12.603321

Enhancing eye movement based biometric identification method by using voting classifiers

Paweł Kasprowski
, Józef Ober

Katedra Informatyki Stosowanej (RAU/RAU7)

Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences

Wyniki badań: Wkład do czasopisma › Artykuł z konferencji › recenzja

21 Cytowania z bazy Scopus

Abstrakt

Eye movements contain a lot of information about human being. The way the eyes are moving is very complicated and eye movement patterns has been subject of studies for over 100 years. However, surprisingly, eye movement based identification is a quite new idea presented for the first time during the Biometrics'2003 Conference in London [17]. The method has several significant advantages: compiles behavioral and physiological properties of human body, it is difficult to forge and it is affordable - with a number of ready-to-use eye registering devices (so called eye trackers). The paper introduces the methodology and presents results of the first eye movement based authorization tests.

Język oryginału	angielski
Numer artykułu	37
Strony (od–do)	314-323
Liczba stron	10
Czasopismo	Proceedings of SPIE - The International Society for Optical Engineering
Tom	5779
Identyfikatory DOI	https://doi.org/10.1117/12.603321
Status publikacji	Opublikowano - 2005
Wydarzenie	Biometric Technology for Human Identification II - Orlando, FL, Stany Zjednoczone Czas trwania: 28 mar 2005 → 29 mar 2005

Obszary tematyczne ASJC Scopus

Materiały elektroniczne, optyczne i magnetyczne
Instrumentacja
Fizyka materii skondensowanej
Zastosowania informatyki
Matematyka stosowana
Inżynieria elektryczna i elektroniczna

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10.1117/12.603321

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title = "Enhancing eye movement based biometric identification method by using voting classifiers",

abstract = "Eye movements contain a lot of information about human being. The way the eyes are moving is very complicated and eye movement patterns has been subject of studies for over 100 years. However, surprisingly, eye movement based identification is a quite new idea presented for the first time during the Biometrics'2003 Conference in London [17]. The method has several significant advantages: compiles behavioral and physiological properties of human body, it is difficult to forge and it is affordable - with a number of ready-to-use eye registering devices (so called eye trackers). The paper introduces the methodology and presents results of the first eye movement based authorization tests.",

keywords = "Biometrics, Eye movements, Eye-trackers, Human identification",

author = "Pawe{\l} Kasprowski and J{\'o}zef Ober",

year = "2005",

doi = "10.1117/12.603321",

language = "English",

volume = "5779",

pages = "314--323",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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publisher = "SPIE",

note = "Biometric Technology for Human Identification II ; Conference date: 28-03-2005 Through 29-03-2005",

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TY - JOUR

T1 - Enhancing eye movement based biometric identification method by using voting classifiers

AU - Kasprowski, Paweł

AU - Ober, Józef

PY - 2005

Y1 - 2005

N2 - Eye movements contain a lot of information about human being. The way the eyes are moving is very complicated and eye movement patterns has been subject of studies for over 100 years. However, surprisingly, eye movement based identification is a quite new idea presented for the first time during the Biometrics'2003 Conference in London [17]. The method has several significant advantages: compiles behavioral and physiological properties of human body, it is difficult to forge and it is affordable - with a number of ready-to-use eye registering devices (so called eye trackers). The paper introduces the methodology and presents results of the first eye movement based authorization tests.

AB - Eye movements contain a lot of information about human being. The way the eyes are moving is very complicated and eye movement patterns has been subject of studies for over 100 years. However, surprisingly, eye movement based identification is a quite new idea presented for the first time during the Biometrics'2003 Conference in London [17]. The method has several significant advantages: compiles behavioral and physiological properties of human body, it is difficult to forge and it is affordable - with a number of ready-to-use eye registering devices (so called eye trackers). The paper introduces the methodology and presents results of the first eye movement based authorization tests.

KW - Biometrics

KW - Eye movements

KW - Eye-trackers

KW - Human identification

UR - https://www.scopus.com/pages/publications/26444577524

U2 - 10.1117/12.603321

DO - 10.1117/12.603321

M3 - Conference article

AN - SCOPUS:26444577524

SN - 0277-786X

VL - 5779

SP - 314

EP - 323

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 37

T2 - Biometric Technology for Human Identification II

Y2 - 28 March 2005 through 29 March 2005

ER -

Enhancing eye movement based biometric identification method by using voting classifiers

Abstrakt

Obszary tematyczne ASJC Scopus

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