Feature extraction for paper currency recognition

Hassanpour, Hamid; Yaseri, Abbas; Ardeshiri, G.

doi:10.1109/isspa.2007.4555366

Cited by 48 publications

(32 citation statements)

References 7 publications

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“…al. [4] ,have proposed a new technique of paper currency recognition which is based on three characteristics of paper currencies including size, colour and texture. By using Image histogram, the different colour in paper currency is compared to reference paper currency Vora et.al.…”

Section: Literature Surveymentioning

confidence: 99%

Hidden Security Features for the Recognition of Fake Currency

chandana¹

2018

ijarcs

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Section: Literature Surveymentioning

confidence: 99%

Hidden Security Features for the Recognition of Fake Currency

chandana¹

2018

ijarcs

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“…had been used. However, it is observed [2,3] that such a framework is not capable of distinguishing genuine notes from counterfeit. The study by Herley et.…”

Section: _______________________________________________mentioning

confidence: 99%

Authentication of currency notes through printing technique verification

Roy

Halder²,

Garain

2010

Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing

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An image analysis based pattern classification method is proposed to authentic the printing process used in printing different texts on currency notes. Features suitable for doing this are selected and then studied to detect fraudulent samples based on the printing method. This classification is done by using Support Vector Machines and Neural Nets. The discriminatory power of the selected features in authenticating the printing process is tested using the Linear Discriminate Analysis. Experimental results show that the proposed framework provides a highly accurate framework for authenticating the printing process in bank notes.

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“…In a paper currency recognition system, a pre-processing step is seemed essential for recognizing worn banknotes (Zhang et al, 2003). In literature, a linear transform function has been used for pre-processing (Hassanpour, Yaseri, & Ardeshir, 2007;Zhang et al, 2003). Applying the transform function on a clean banknote gives it an excessive lightness.…”

Section: The Pre-processing Filtermentioning

confidence: 99%

“…In fact, at first glance, people may not pay attention to the details and exact characteristics of banknotes in their recognition (Hassanpour et al, 2007). Hence, the size of the banknotes must be verified at first step.…”

Section: Feature Extractionmentioning

confidence: 99%