A Hybrid Framework for Efficient Detection of Fake Currency Notes-Reference-Cited by-同舟云学术

A Hybrid Framework for Efficient Detection of Fake Currency Notes

Published:2022 Issue: Volume: Page:213-225
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Santhi M. V. B. T.,Hrushikesava Raju S.,Adinarayna S.,Lokanadham Naidu V.,Waris Saiyed Faiayaz

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8512-5_24

Reference33 articles.

1. Q. Zhang, W.Q. Yan, Currency detection and recognition based on deep learning, in 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Feb 2019. https://doi.org/10.1109/AVSS.2018.8639124

2. S. Arya, M. Sasikumar, Fake currency detection, in 2019 International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC), Feb 2020. https://doi.org/10.1109/ICRAECC43874.2019.8994968

3. A. Singh, K. Bhoyar, A. Pandey, P. Mankani, A. Tekriwal, Detection of fake currency using image processing. Int. J. Eng. Res. Technol. (IJERT) 8(12) (2019). https://doi.org/10.17577/IJERTV8IS120143

4. M. Thakur, A. Kaur, Various fake currency detection techniques (2014). https://www.semanticscholar.org/paper/VARIOUS-FAKE-CURRENCY-DETECTION-TECHNIQUES-Thakur-Kaur/bcf268aa2b70214a2c7e3627df1a11253c870f62

5. A.A. Mandankandy, K.E. Kannammal, Fake currency detection: a survey. Gedrag en Organisatie 33(4), 622–638 (2020). https://www.researchgate.net/publication/346597498_Fake_currency_detection_A_survey

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