Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200476284 ISBN 13: 9786200476289
Da: Books Puddle, New York, NY, U.S.A.
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6138339649 ISBN 13: 9786138339649
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: moluna, Greven, Germania
EUR 45,45
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200476284 ISBN 13: 9786200476289
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Nov 2019, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Forgery is one of the critical problems affecting cash transactions. Forged banknotes are becoming serious threats hampering the smooth transactions in Ethiopia. Hence, the availability of such fake notes in the market needs the automation of the money transaction system. The banking industries are unable to fully utilize self-serving devices including ATMs intensively. Nevertheless, banks have not yet utilized a reliable recognition system to identify forged banknotes. This calls for the development of a better authenticity verification system. In this study, we have examined the color momentum, SIFT, GLCM, combination of SIFT, color, and GLCM, and convolutional neural network as a feature extraction technique and support vector machine, K- nearest neighbor classifier, and feed-forward artificial neural network as a classifier to design Ethiopian banknote recognition system. In order to minimize the effect of noisy data, we have employed an intensive image preprocessing tasks, like image histogram equalization and adaptive median filter-based image denoising. 124 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6138339649 ISBN 13: 9786138339649
Da: moluna, Greven, Germania
EUR 34,25
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zerefa Legesse WorkuWorku Zerefa was born in 1989 in the north of Gondar, Ethiopia. In 2012 he obtained the Bachelor Degree in Garment Engineering from Bahir Dar University. After working for different garment companies, he is now a .
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200476284 ISBN 13: 9786200476289
Da: moluna, Greven, Germania
EUR 34,25
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mulugeta DanielMr. Daniel Mulugeta is a professional in Textile Engineering and Industry. He has 14 years of working experience in different institutions and also teaching experience acquired in high schools and universities. Now he .
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: Majestic Books, Hounslow, Regno Unito
EUR 84,75
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 89,70
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Nov 2019, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 54,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Forgery is one of the critical problems affecting cash transactions. Forged banknotes are becoming serious threats hampering the smooth transactions in Ethiopia. Hence, the availability of such fake notes in the market needs the automation of the money transaction system. The banking industries are unable to fully utilize self-serving devices including ATMs intensively. Nevertheless, banks have not yet utilized a reliable recognition system to identify forged banknotes. This calls for the development of a better authenticity verification system. In this study, we have examined the color momentum, SIFT, GLCM, combination of SIFT, color, and GLCM, and convolutional neural network as a feature extraction technique and support vector machine, K- nearest neighbor classifier, and feed-forward artificial neural network as a classifier to design Ethiopian banknote recognition system. In order to minimize the effect of noisy data, we have employed an intensive image preprocessing tasks, like image histogram equalization and adaptive median filter-based image denoising.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 55,56
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Forgery is one of the critical problems affecting cash transactions. Forged banknotes are becoming serious threats hampering the smooth transactions in Ethiopia. Hence, the availability of such fake notes in the market needs the automation of the money transaction system. The banking industries are unable to fully utilize self-serving devices including ATMs intensively. Nevertheless, banks have not yet utilized a reliable recognition system to identify forged banknotes. This calls for the development of a better authenticity verification system. In this study, we have examined the color momentum, SIFT, GLCM, combination of SIFT, color, and GLCM, and convolutional neural network as a feature extraction technique and support vector machine, K- nearest neighbor classifier, and feed-forward artificial neural network as a classifier to design Ethiopian banknote recognition system. In order to minimize the effect of noisy data, we have employed an intensive image preprocessing tasks, like image histogram equalization and adaptive median filter-based image denoising.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200095396 ISBN 13: 9786200095398
Da: preigu, Osnabrück, Germania
EUR 47,20
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Ethiopian Banknote Denomination Classification & Fake Detection System | An optimal feature extraction and classification technique | Asfaw Alene | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200095398 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.