Ethiopian Banknote Denomination Classification & Fake Detection System: An optimal feature extraction and classification technique - Softcover

Alene, Asfaw

 
9786200095398: Ethiopian Banknote Denomination Classification & Fake Detection System: An optimal feature extraction and classification technique
Softcover
ISBN 10: 6200095396 ISBN 13: 9786200095398
Verlag: LAP LAMBERT Academic Publishing, 2019

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Mr. Asfaw Alene is keen to begin a career in Computer science. He has 11 years of working experience in different ICT positions with a different institution -Teaching in high school and university, ICT experts, system software administrator, network administrator, senior network administrator, data center administrator, and lecturer positions.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
6200095396
ISBN 13 
9786200095398
Einband
Taschenbuch
Anzahl der Seiten
124
Kontakt zum Hersteller
Nicht verfügbar
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