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Recent trends and future of pharmaceutical packaging technology. [PDF]
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Tunable solid-state fluorescent materials for supramolecular encryption. [PDF]
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Detection of counterfeit banknotes using multispectral images
Digital Signal Processing, 2018Abstract In this paper, we propose counterfeit banknote detection algorithms using low resolution multispectral images. It has become increasingly difficult to detect professionally produced counterfeit banknotes, so more sophisticated features have had to be implemented in banknotes.
Chulhee Lee, Sangwook Baek, Yoonkil Baek
exaly +2 more sources
Mobile App for Detection of Counterfeit Banknotes
Lecture Notes in Computer Science, 2018Mobile phone usage has become very common. The market continues to grow as more advanced functionalities are incorporated in mobile phones. They possess sufficient computational capability that is needed for the identification and authentication of banknotes.
Tamarafinide V Dittimi, Ching Y. Suen
exaly +3 more sources
Banknote Counterfeit Detection through Background Texture Printing Analysis
2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016This paper is focused on the detection of counterfeit photocopy banknotes. The main difficulty is to work on a real industrial scenario without any constraint about the acquisition device and with a single image. The main contributions of this paper are twofold: first the adaptation and performance evaluation of existing approaches to classify the ...
Oriol Ramos Terrades +2 more
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Science and Justice - Journal of the Forensic Science Society, 2022
Counterfeiting of banknotes is still a severe crime problem in many countries. One of the most significant issue for solving the crime is to classify the counterfeit types and identify the sources. Most of the current methods to classify counterfeit banknotes rely on manual examination that is time-consuming and labor-intensive. Moreover, these methods
Xiyuan Hu
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Counterfeiting of banknotes is still a severe crime problem in many countries. One of the most significant issue for solving the crime is to classify the counterfeit types and identify the sources. Most of the current methods to classify counterfeit banknotes rely on manual examination that is time-consuming and labor-intensive. Moreover, these methods
Xiyuan Hu
exaly +3 more sources
Image-based approach for the detection of counterfeit banknotes of Bangladesh
2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), 2016Currency duplication also known as counterfeit currency is a vulnerable threat on economy. It is now a common phenomenon due to advanced printing and scanning technology. Bangladesh has been facing serious problem by the increasing rate of fake notes in the market.
Mohammad Shorif Uddin
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Malaysian Banknotes Counterfeit Detection Algorithm for Ten Ringgit and Twenty Ringgit
2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2022Wai Kit Wong +2 more
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