Detection of counterfeit US paper money using intrinsic fluorescence lifetime

Chia, Thomas H.; Levene, Michael J.

doi:10.1364/oe.17.022054

Cited by 24 publications

(10 citation statements)

References 14 publications

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“…As presented in Table 6, there are a variety of methods for identifying anti-counterfeiting features by extracting features related to brightness information [83,84], fluorescence characteristics [85,86,87,88,89,90,91,92], fidelity of the serial number and printing [93,94], and security threads [95]. Simple methods using only wavelengths of the visible light spectrum have limitations in accurately identifying anti-counterfeiting features.…”

Section: Counterfeit Banknote Detectionmentioning

confidence: 99%

A Survey on Banknote Recognition Methods by Various Sensors

Lee

Hong

Kim

et al. 2017

Sensors

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Despite a decrease in the use of currency due to the recent growth in the use of electronic financial transactions, real money transactions remain very important in the global market. While performing transactions with real money, touching and counting notes by hand, is still a common practice in daily life, various types of automated machines, such as ATMs and banknote counters, are essential for large-scale and safe transactions. This paper presents studies that have been conducted in four major areas of research (banknote recognition, counterfeit banknote detection, serial number recognition, and fitness classification) in the accurate banknote recognition field by various sensors in such automated machines, and describes the advantages and drawbacks of the methods presented in those studies. While to a limited extent some surveys have been presented in previous studies in the areas of banknote recognition or counterfeit banknote recognition, this paper is the first of its kind to review all four areas. Techniques used in each of the four areas recognize banknote information (denomination, serial number, authenticity, and physical condition) based on image or sensor data, and are actually applied to banknote processing machines across the world. This study also describes the technological challenges faced by such banknote recognition techniques and presents future directions of research to overcome them.

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Section: Counterfeit Banknote Detectionmentioning

confidence: 99%

A Survey on Banknote Recognition Methods by Various Sensors

Lee

Hong

Kim

et al. 2017

Sensors

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“…It is found, the black ink on US banknotes is more stable than green, black has very stable structure that is high in iron whilst green is more erratic. Similarly a two photon microscope is used, an excitement method used to view photons emitted [10]. Their findings show that fluorescence aspects of genuine banknotes differ quite considerably in wavelength and amount of photons emitted than fake paper.…”

Section: A Featuresmentioning

confidence: 99%

Currency security and forensics: a survey

Chambers

Yan

Garhwal

et al. 2014

Multimed Tools Appl

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Abstract-By its definition, the word 'currency' refers to an agreed medium for exchange, a nation's currency is the formal medium enforced by the elected governing entity. Throughout history, issuers have faced one common threat: counterfeiting. Despite technological advancements, overcoming counterfeit production remains a distant future. Scientific determination of authenticity requires a deep understanding of the raw materials and manufacturing processes involved. This survey serves as a synthesis of the current literature to understand the technology and the mechanics involved in currency manufacture and security, whilst identifying gaps in the current literature. Ultimately, a robust currency is desired.

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“…The fluorescence lifetime is investigated [7], it is found using a two-photon laser excitation and timecorrelated single photon counting (TCSPC) method, significant differences in the duration of fluorescence are observed when comparing genuine and counterfeit notes. This approach is an alternative to the image processing and classification model used by this study, yet due to the requirement for specialized equipment may not be a practical solution.…”

Section: Fig 2 Various Marks For Banknote Authenticationmentioning

confidence: 99%

An empirical approach for currency identification

Yan

Chambers

Garhwal

2014

Multimed Tools Appl

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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.In this study, an empirical approach for automated currency identification is formulated and a prototype is developed. A two parts feature vector is defined comprised of color features and texture features. Finally the banknote in question is classified by a Feedforward Neural Network (FNN) and a measurement of the similarity between existing samples and suspect banknote is output.

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Detection of counterfeit US paper money using intrinsic fluorescence lifetime

Cited by 24 publications

References 14 publications

A Survey on Banknote Recognition Methods by Various Sensors

A Survey on Banknote Recognition Methods by Various Sensors

Currency security and forensics: a survey

An empirical approach for currency identification

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