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Periocular structure, a sub-region of face is characterized by spatial content with an ability to authenticate in non-intrusive civic E/M commerce surveillance applications. The current paper proposes a novel biometric authentication technique by utilizing geometric properties enduring periocular region. Major portion of existing periocular pattern recognition methods is based on skin texture global information. The proposed approach quantifies periocular shape in ways that e↵ectively find perceptually similar images in the database. The proposed work is an enhancement over state-of-art method which achieves low dimensional local periocular pattern data preserved on high dimensional non-linear plane. Periocular surface is discretized by triangular mesh cornered on natural edges. Laplace-Beltrami eigen spectrum derived over the mesh using cotangent weighted Finite Element Method (FEM) implementation is implicitly compared to achieve periocular region shape based authentication.
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Periocular authentication based on FEM
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139910048
ISBN 13: 9786139910045
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dasa Ravindranath AmbikaAmbika Dasa Ravindranath is Assistant Professor.Periocular structure, a sub-region of face is characterized by spatial content with an ability to authenticate in non-intrusive civic E/M commerce surveillan. Codice articolo 385876888
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Periocular authentication based on FEM
Editore:
LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6139910048
ISBN 13: 9786139910045
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Periocular structure, a sub-region of face is characterized by spatial content with an ability to authenticate in non-intrusive civic E/M commerce surveillance applications. The current paper proposes a novel biometric authentication technique by utilizing geometric properties enduring periocular region. Major portion of existing periocular pattern recognition methods is based on skin texture global information. The proposed approach quantifies periocular shape in ways that e ectively find perceptually similar images in the database. The proposed work is an enhancement over state-of-art method which achieves low dimensional local periocular pattern data preserved on high dimensional non-linear plane. Periocular surface is discretized by triangular mesh cornered on natural edges. Laplace-Beltrami eigen spectrum derived over the mesh using cotangent weighted Finite Element Method (FEM) implementation is implicitly compared to achieve periocular region shape based authentication. 52 pp. Englisch. Codice articolo 9786139910045
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Periocular authentication based on FEM
Editore:
LAP LAMBERT Academic Publishing Mai 2019, 2019
ISBN 10: 6139910048
ISBN 13: 9786139910045
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. Neuware -Periocular structure, a sub-region of face is characterized by spatial content with an ability to authenticate in non-intrusive civic E/M commerce surveillance applications. The current paper proposes a novel biometric authentication technique by utilizing geometric properties enduring periocular region. Major portion of existing periocular pattern recognition methods is based on skin texture global information. The proposed approach quanti¿es periocular shape in ways that e¿ectively ¿nd perceptually similar images in the database. The proposed work is an enhancement over state-of-art method which achieves low dimensional local periocular pattern data preserved on high dimensional non-linear plane. Periocular surface is discretized by triangular mesh cornered on natural edges. Laplace-Beltrami eigen spectrum derived over the mesh using cotangent weighted Finite Element Method (FEM) implementation is implicitly compared to achieve periocular region shape based authentication.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Codice articolo 9786139910045
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Periocular authentication based on FEM : using Laplace-Beltrami eigen values
Editore:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139910048
ISBN 13: 9786139910045
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Periocular structure, a sub-region of face is characterized by spatial content with an ability to authenticate in non-intrusive civic E/M commerce surveillance applications. The current paper proposes a novel biometric authentication technique by utilizing geometric properties enduring periocular region. Major portion of existing periocular pattern recognition methods is based on skin texture global information. The proposed approach quantifies periocular shape in ways that e ectively find perceptually similar images in the database. The proposed work is an enhancement over state-of-art method which achieves low dimensional local periocular pattern data preserved on high dimensional non-linear plane. Periocular surface is discretized by triangular mesh cornered on natural edges. Laplace-Beltrami eigen spectrum derived over the mesh using cotangent weighted Finite Element Method (FEM) implementation is implicitly compared to achieve periocular region shape based authentication. Codice articolo 9786139910045
Quantità: 1 disponibili