Abstract
Authentication based on biometric provides various advantages in ATMs (Automated Teller Machine) systems. The weakness of existing authentication scheme in ATM is the usage of PIN (Personal Identification Number) numbers as password. Because PIN numbers are easily traceable and misused. In order to achieve security and to overcome these illegal activities, our proposed system is developed to provide better security to the ATMs. Here, the PIN numbers are replaced with biometric security. The main objective of the work is to eliminate the use of ATM cards completely and to ensure better security. In this proposal, we provide the idea of using Aadhaar number as user ID and fingerprint as password. After biometric verification, the user will be allowed to proceed with the transaction. In case of three successive wrong attempts, the account will be blocked.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Onyesolu, M.O., Ezeani, I.M.: ATM security using fingerprint biometric identifier: an investigative study. Int. J. Adv. Comput. Sci. Appl. 3, 68–72 (2012)
Renee Jebaline, G., Gomathi, S.: A novel method to enhance the security of ATM using biometrics. In: International Conference on Circuit, Power and Computing Technologies (2015)
Singh, S., Singh, A., Kumar, R.: A constraint based biometric scheme on ATM and swiping. In: International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) (2016)
Vijaysanthi, R., Radha, N., Jaya Shree, M., Sindhujaa, V.: Fingerprint authentication using Raspberry Pi based on IoT. In: International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) (2017)
Yang, Y., Mi, J.: ATM terminal design is based on fingerprint recognition. In: 2nd International Conference on Computer Engineering and Technology (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Bhuvaneshwari, A.J., Nanthithaa Shree, R. (2020). Secure and Enhanced Bank Transactions Using Biometric ATM Security System. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-32150-5_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32149-9
Online ISBN: 978-3-030-32150-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)