Detection of counterfeit banknotes by security components based on image processing and GoogLeNet deep learning network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-02104-z.pdf
Reference28 articles.
1. Sufri, N. et al.: Vision based system for banknote recognition using different machine learning and deep learning approach. 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC), IEEE. (2019)
2. Kitanovski, V., and Pedersen, M.: Halftone modulation for embedding UV watermarks in color printed images. 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), IEEE. (2018)
3. Rodrigues, A.R.N., et al.: Characterization of Brazilian banknotes using portable X-ray fluorescence and Raman spectroscopy. Forensic Sci. Int. 302, 109872 (2019)
4. Correia, R.M., et al.: Banknote analysis by portable near infrared spectroscopy. Forensic Chem. 8, 57–63 (2018)
5. Singh, M. et al. Image processing based detection of counterfeit Indian bank notes. 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE. (2018)
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