Identifying the Origin of Finger Vein Samples Using Texture Descriptors

Publikation: Beitrag in Buch/Bericht/Konferenzband/Gesetzeskommentar › Kapitel in einem Sammelband › Forschung › Peer-reviewed

Originalsprache	Englisch
Titel	COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT II
Seiten	237-250
Seitenumfang	14
Band	12950
DOIs	https://doi.org/10.1007/978-3-030-86960-1_17
Publikationsstatus	Veröffentlicht - 2021

Name	Lecture Notes in Computer Science

Systematik der Wissenschaftszweige 2012

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title = "Identifying the Origin of Finger Vein Samples Using Texture Descriptors",

keywords = "Texture classification, Sensor identification, Image origin authentication, Finger vein recognition, PRNU, Texture descriptors",

author = "Babak Maser and Andreas Uhl",

year = "2021",

doi = "10.1007/978-3-030-86960-1_17",

language = "English",

isbn = "978-3-030-86959-5",

volume = "12950",

series = "Lecture Notes in Computer Science",

pages = "237--250",

booktitle = "COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT II",

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TY - CHAP

T1 - Identifying the Origin of Finger Vein Samples Using Texture Descriptors

AU - Maser, Babak

AU - Uhl, Andreas

PY - 2021

Y1 - 2021

KW - Texture classification

KW - Sensor identification

KW - Image origin authentication

KW - Finger vein recognition

KW - PRNU

KW - Texture descriptors

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DO - 10.1007/978-3-030-86960-1_17

M3 - Chapter in Book

SN - 978-3-030-86959-5

VL - 12950

T3 - Lecture Notes in Computer Science

SP - 237

EP - 250

BT - COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT II

ER -