The iris structure offers many properties like stability,uniqueness, easy measurement and high recognition rate, which make the iris authentication so accurate. In this book, an iris verification system is proposed using local textural features to achieve high authentication accuracy, so, two different sets of textural features have been suggested to represent the iris texture attributes; they depend on the spatial variation of the intensity.The introduced features sets are: (i) Spatial Distribution of the Local Average for First Gradient Density (SDLAFGD), and (ii) Spatial Distribution of the Local Average for Second Gradient Density (SDLASGD). As well, this work focuses on the selection of proper features to distinguish between individuals. The weighted Euclidean distance measure was used to make the similarity matching decision. The system was tested using public databases CASIA v1.0 and CASIA v4.0.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The iris structure offers many properties like stability,uniqueness, easy measurement and high recognition rate, which make the iris authentication so accurate. In this book, an iris verification system is proposed using local textural features to achieve high authentication accuracy, so, two different sets of textural features have been suggested to represent the iris texture attributes; they depend on the spatial variation of the intensity.The introduced features sets are: (i) Spatial Distribution of the Local Average for First Gradient Density (SDLAFGD), and (ii) Spatial Distribution of the Local Average for Second Gradient Density (SDLASGD). As well, this work focuses on the selection of proper features to distinguish between individuals. The weighted Euclidean distance measure was used to make the similarity matching decision. The system was tested using public databases CASIA v1.0 and CASIA v4.0.
Iman Abduljabbar Saad, Ph.D in Department of Computer Science/ Technology University.Loay Edwar George, Ph.D. In Digital Image Processing, College of Science, Baghdad University.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The iris structure offers many properties like stability,uniqueness, easy measurement and high recognition rate, which make the iris authentication so accurate. In this book, an iris verification system is proposed using local textural features to achieve high authentication accuracy, so, two different sets of textural features have been suggested to represent the iris texture attributes; they depend on the spatial variation of the intensity.The introduced features sets are: (i) Spatial Distribution of the Local Average for First Gradient Density (SDLAFGD), and (ii) Spatial Distribution of the Local Average for Second Gradient Density (SDLASGD). As well, this work focuses on the selection of proper features to distinguish between individuals. The weighted Euclidean distance measure was used to make the similarity matching decision. The system was tested using public databases CASIA v1.0 and CASIA v4.0. 176 pp. Englisch. N° de réf. du vendeur 9783330046986
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abduljabbar Saad ImanIman Abduljabbar Saad, Ph.D in Department of Computer Science/ Technology University.Loay Edwar George, Ph.D. In Digital Image Processing, College of Science, Baghdad University.The iris structure offers many. N° de réf. du vendeur 151234421
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Paperback. Etat : Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock. N° de réf. du vendeur 3330046988
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Improvement of Iris Image Authentication using Moment Based Features | Iman Abduljabbar Saad (u. a.) | Taschenbuch | 176 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330046986 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 108561948
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The iris structure offers many properties like stability,uniqueness, easy measurement and high recognition rate, which make the iris authentication so accurate. In this book, an iris verification system is proposed using local textural features to achieve high authentication accuracy, so, two different sets of textural features have been suggested to represent the iris texture attributes; they depend on the spatial variation of the intensity.The introduced features sets are: (i) Spatial Distribution of the Local Average for First Gradient Density (SDLAFGD), and (ii) Spatial Distribution of the Local Average for Second Gradient Density (SDLASGD). As well, this work focuses on the selection of proper features to distinguish between individuals. The weighted Euclidean distance measure was used to make the similarity matching decision. The system was tested using public databases CASIA v1.0 and CASIA v4.0.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. N° de réf. du vendeur 9783330046986
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The iris structure offers many properties like stability,uniqueness, easy measurement and high recognition rate, which make the iris authentication so accurate. In this book, an iris verification system is proposed using local textural features to achieve high authentication accuracy, so, two different sets of textural features have been suggested to represent the iris texture attributes; they depend on the spatial variation of the intensity.The introduced features sets are: (i) Spatial Distribution of the Local Average for First Gradient Density (SDLAFGD), and (ii) Spatial Distribution of the Local Average for Second Gradient Density (SDLASGD). As well, this work focuses on the selection of proper features to distinguish between individuals. The weighted Euclidean distance measure was used to make the similarity matching decision. The system was tested using public databases CASIA v1.0 and CASIA v4.0. N° de réf. du vendeur 9783330046986
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