Articoli correlati a Personal Recognition Using Fusion of Ear and Iris Biometrics
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From security point of view, identity of a person is of critical importance. Increased threats to conventional security methods of personal identification has given rise to personal identification and verification systems based on biometrics. These systems establish human identity using individual's physical or behavioral attributes. These attributes besides being universal, unique and permanent need to be acceptable as well. One such biometric modality that has potential for further exploration is Ear. As a step in this direction, we have made an attempt to explore the potential of time series based Autoregressive (AR) modelling. Performance of AR model using ear biometrics motivated us to make an attempt for 100% RR of a person based on multimodal biometrics. After a study of state of art biometric modalities and potential of second order texture based methods having capability to extract information beyond visual perception, we found it reasonable to fuse AR based feature vector of Ear shape with second order texture based statistics of biometric modality Iris.
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Personal Recognition Using Fusion of Ear and Iris Biometrics
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LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 6139969298
ISBN 13: 9786139969296
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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 -From security point of view, identity of a person is of critical importance. Increased threats to conventional security methods of personal identification has given rise to personal identification and verification systems based on biometrics. These systems establish human identity using individual's physical or behavioral attributes. These attributes besides being universal, unique and permanent need to be acceptable as well. One such biometric modality that has potential for further exploration is Ear. As a step in this direction, we have made an attempt to explore the potential of time series based Autoregressive (AR) modelling. Performance of AR model using ear biometrics motivated us to make an attempt for 100% RR of a person based on multimodal biometrics. After a study of state of art biometric modalities and potential of second order texture based methods having capability to extract information beyond visual perception, we found it reasonable to fuse AR based feature vector of Ear shape with second order texture based statistics of biometric modality Iris. 220 pp. Englisch. Codice articolo 9786139969296
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Personal Recognition Using Fusion of Ear and Iris Biometrics
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139969298
ISBN 13: 9786139969296
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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: Khursheed FaridaFarida Khursheed is presently working as Associate Professor in Department of ECE NIT Srinagar, India. She did her PhD in the area of Biometrics. She has done her BE in Electronics and Communication Engineering and M. Codice articolo 385879501
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Personal Recognition Using Fusion of Ear and Iris Biometrics
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139969298
ISBN 13: 9786139969296
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Personal Recognition Using Fusion of Ear and Iris Biometrics | Farida Khursheed (u. a.) | Taschenbuch | 220 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139969296 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 115139826
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Personal Recognition Using Fusion of Ear and Iris Biometrics
Editore:
LAP LAMBERT Academic Publishing Dez 2018, 2018
ISBN 10: 6139969298
ISBN 13: 9786139969296
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -From security point of view, identity of a person is of critical importance. Increased threats to conventional security methods of personal identification has given rise to personal identification and verification systems based on biometrics. These systems establish human identity using individual¿s physical or behavioral attributes. These attributes besides being universal, unique and permanent need to be acceptable as well. One such biometric modality that has potential for further exploration is Ear. As a step in this direction, we have made an attempt to explore the potential of time series based Autoregressive (AR) modelling. Performance of AR model using ear biometrics motivated us to make an attempt for 100% RR of a person based on multimodal biometrics. After a study of state of art biometric modalities and potential of second order texture based methods having capability to extract information beyond visual perception, we found it reasonable to fuse AR based feature vector of Ear shape with second order texture based statistics of biometric modality Iris.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 220 pp. Englisch. Codice articolo 9786139969296
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Personal Recognition Using Fusion of Ear and Iris Biometrics
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139969298
ISBN 13: 9786139969296
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - From security point of view, identity of a person is of critical importance. Increased threats to conventional security methods of personal identification has given rise to personal identification and verification systems based on biometrics. These systems establish human identity using individual's physical or behavioral attributes. These attributes besides being universal, unique and permanent need to be acceptable as well. One such biometric modality that has potential for further exploration is Ear. As a step in this direction, we have made an attempt to explore the potential of time series based Autoregressive (AR) modelling. Performance of AR model using ear biometrics motivated us to make an attempt for 100% RR of a person based on multimodal biometrics. After a study of state of art biometric modalities and potential of second order texture based methods having capability to extract information beyond visual perception, we found it reasonable to fuse AR based feature vector of Ear shape with second order texture based statistics of biometric modality Iris. Codice articolo 9786139969296
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