i-manager Publications

Identification of Fake Indian Currency using an Android App

Lakshmi Prasanna N.*, Guntur Likhitha**, Katru Sasi Kumar***, Konda Divyaswari****, Korrapati Uday Sai*****

*-***** Department of Computer Science and Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Andhra Pradesh, India.

Periodicity:January - June'2025
DOI : https://doi.org/10.26634/jmt.12.1.21942

Abstract

This paper seeks to address the problem of counterfeit Indian currency, which creates financial risks and damages trust. Through the application of machine learning and mobile applications, it provides a trusted solution for authenticating currency, improving financial security, and minimizing fraudulent transactions. The Android application enables users to register, login, and take pictures of currency bills using their phone's camera and the user can even upload image of currency bill from the gallery. A machine learning model which is trained using CNN algorithm is used to scan the image and identify whether the currency is authentic or forged. This quick verification process enables users to fight counterfeit currency. The app, built with Kotlin, ensures a smooth interface for easy access and use. Overall, this Android app offers a potential solution to the pervasive issue of counterfeit currency circulation.

Keywords

Mobile Application, Android, CNN, Fake Currency, Real Time-monitoring.

How to Cite this Article?

Prasanna, N. L., Likhitha, G., Kumar, K. S., Divyaswari, K., and Sai, K.U. (2025). Identification of Fake Indian Currency using an Android App.i-manager’s Journal on Mobile Applications & Technologies, 12(1), 11-23. https://doi.org/10.26634/jmt.12.1.21942

References

[1]. Bandu, S. C. D., Kakileti, M., Jannu Soloman, S. S., & Baydeti, N. (2024). Indian fake currency detection using image processing and machine learning. International Journal of Information Technology, 16(8), 4953-4966.

[2]. Dhapare, P., Agarwal, A., & Doshi, D. (2019, March). Detection of counterfeit currency using image processing techniques. In 2019 IEEE 5thInternational Conference for Convergence in Technology (I2CT) (pp. 1- 5). IEEE.

[3]. Gupta, R., Gupta, A., Chauhan, A., Bisht, G., & Tripathi, V. (2023, December). Currency detection application for visually impaired using CNN. In 2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI) (pp. 1-7). IEEE.

[4]. Jaman, S. J., Haque, M. Z., Islam, M. R., & Noor, U. A. (2025). BD currency detection: A cnn based approach with mobile app integration. ar X i v preprint arXiv:2502.17907.

[5]. Kalaiselvi, M., Neha, V., Ragavi, R., Sindhu, P., & Sneak, G. (2023). Identification of fake Indian currency using convolutional neural network. International Journal of Research Publication and Reviews, 4(5), 1496-1501.

[6]. Kara, S. T., Loya, S., Raju, S. S., Vanteru, N., & Rajulapati, B. (2023). Detection of fake Indian currency using deep convolutional neural network. In 2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon) (pp. 1-6). IEEE.

[7]. Kumar, N., Ahmad, N., Mittal, A., Singh, A., Oli, S., & Rayal, A. (2023). Detection of fake currency notes using image processing technique. In 2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS) (pp. 1-6). IEEE.

[8]. Kute, D. V., Pradhan, B., Shukla, N., & Alamri, A. (2021). Deep learning and explainable artificial intelligence techniques applied for detecting money laundering–a critical review. IEEE Access, 9, 82300-82317.

[9]. Narale, D. B., Pujar, A. M., & Pardeshi, K. R. (2025). Proposed solution for currency classification and fake currency detection using machine learning. In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) (pp. 1030-1036). IEEE.

[10]. Patil, N., Ingale, M. M., Shirsath, A. V., Bagga, K. R., & Patil, D. S. (2024). Visual currency validator: An android app empowering the visually impaired with image processing and deep learning for fake currency detection. Journal of Research Administration, 6(1), 5627-5636.

[11]. Sharma, V., Singh, D. P., Rana, J., Kapoor, A., & Mishra, A. (2018). Deep learning model for Indian fake currency detection. In International Conference on Emerging Trends in Communication, Computing and Electronics (pp. 115-126). Springer Nature Singapore.

[12]. Singh, K., Gupta, S., Chawla, M., Rashid, G., Anand, U., Jain, R., & Agarwal, A. (2023). Currency recognition system for visually impaired using a novel CNN-LSTM based hybrid approach. NEU Journal for Artificial Intelligence and Internet of Things, 2(2), 8-24.

[13]. Sravani, M. P., Saimadhuri, K., Jyothi, L., & Koshal, G. (2024). Detection of fake Indian currency using deep learning. International Journal of Engineering Research and Science & Technology, 20(2), 313-318.

[14]. Yadav, R. K., Valecha, P., & Paliwal, S. (2020). Counterfeit currency detection using supervised machine learning algorithms. In Machine Learning for Predictive Analysis: Proceedings of ICTIS 2020 (pp. 173- 178). Springer Singapore.

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	15	15	200	15
Pdf & Online	35	35	400	25

Identification of Fake Indian Currency using an Android App

Abstract

Keywords

How to Cite this Article?

References

If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Options for accessing this content: