9783330351929 - An Approach for Counterfeit Paper Banknote Identification de Lamsal, Shaurav (7 resultados)

Paperback. Condición: Brand New. 76 pages. 8.66x5.91x0.28 inches. In Stock.

Taschenbuch. Condición: Neu. An Approach for Counterfeit Paper Banknote Identification | Shaurav Lamsal | Taschenbuch | 76 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783330351929 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Currency identification is the application of systematic methods to determine authenticity of questioned currency. However, identification analysis is a difficult task requiring specially trained examiners; the most important challenge is automating the analysis process reducing human labor and time. Color and texture feature are used for the classification of an image. This research presents the techniques used for the extraction of feature, identification and classification of counterfeit and genuine bank note. It presented simple method of identification of counterfeit paper banknotes, which automatically using image processing techniques. Color and texture feature of a currency is used for identification. Color descriptor skew, mean and standard deviation is calculated from samples which are checked against the parameter that are previously defined. Texture parameter entropy and correlation are calculated from different set of database image. Matching score below the threshold, input currency image is classified as fake note. Otherwise the currency is genuine. Image processing approach is very useful for classification of different types of currency. 76 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lamsal ShauravShaurav Lamsal holds a B.E. in Electronics and Communication Engineering, a Msc. in Electronics and Communication Engineering from Tribhuvan University (Kathmandu). He has more than 5 years of Professional experiences i.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Currency identification is the application of systematic methods to determine authenticity of questioned currency. However, identification analysis is a difficult task requiring specially trained examiners; the most important challenge is automating the analysis process reducing human labor and time. Color and texture feature are used for the classification of an image. This research presents the techniques used for the extraction of feature, identification and classification of counterfeit and genuine bank note. It presented simple method of identification of counterfeit paper banknotes, which automatically using image processing techniques. Color and texture feature of a currency is used for identification. Color descriptor skew, mean and standard deviation is calculated from samples which are checked against the parameter that are previously defined. Texture parameter entropy and correlation are calculated from different set of database image. Matching score below the threshold, input currency image is classified as fake note. Otherwise the currency is genuine. Image processing approach is very useful for classification of different types of currency.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Currency identification is the application of systematic methods to determine authenticity of questioned currency. However, identification analysis is a difficult task requiring specially trained examiners; the most important challenge is automating the analysis process reducing human labor and time. Color and texture feature are used for the classification of an image. This research presents the techniques used for the extraction of feature, identification and classification of counterfeit and genuine bank note. It presented simple method of identification of counterfeit paper banknotes, which automatically using image processing techniques. Color and texture feature of a currency is used for identification. Color descriptor skew, mean and standard deviation is calculated from samples which are checked against the parameter that are previously defined. Texture parameter entropy and correlation are calculated from different set of database image. Matching score below the threshold, input currency image is classified as fake note. Otherwise the currency is genuine. Image processing approach is very useful for classification of different types of currency.