Abstract
Security in banking transactions is major concern. In this paper we propose a method to use face as a biometric password along with PIN number in ATM machines. For face recognition in controlled environment Wavelet, LBP and PCA are used. This can be used to perform more secure ATM transactions. Even after authorizing the access to a user the algorithm continuously monitors the user. If a user chooses to leave the ATM machine without completing his/her ongoing transaction or moves his/her head away from the camera for 10 s then his/her session will be logged out automatically and he/she will have to restart a new transaction. Our technique can easily be combined with regular ATM machines and people do not even require any further knowledge to use ATM machines. This technique can also be combined with banking websites to provide more safe and secure online transactions for online users.
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Singh, A., Bhattacharya, J., Modi, S. (2017). Face as Bio-Metric Password for Secure ATM Transactions. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 547. Springer, Singapore. https://doi.org/10.1007/978-981-10-3325-4_27
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DOI: https://doi.org/10.1007/978-981-10-3325-4_27
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