ATM Theft Detection Using Artificial Intelligence-Reference-Cited by-同舟云学术

ATM Theft Detection Using Artificial Intelligence

Published:2023 Issue: Volume: Page:517-526
ISSN:2367-3370
Container-title:Emerging Trends in Expert Applications and Security
language:
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Author:

Panimalar S. P.,Kumar M. Ashwin,Rohit N.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-1909-3_45

Reference15 articles.

1. Soma S, Kiran P (2022) To detect abnormal event atm system using image processing and IOT. Int J Eng Res & Technol (IJERT) 11(09)

2. S R, L S, M V S, M S, P KA (2022) Face biometric authentication system for ATM using deep learning. In: 2022 3rd International conference on electronics and sustainable communication systems (ICESC). Coimbatore, India, pp 647–655. https://doi.org/10.1109/ICESC54411.2022.9885334

3. Bajaj S, DwadaS JP, Shirude R (2022) Card less ATM Using deep learning and facial recognition features. J Inform Tech Softw Eng. 12:302

4. Philip JM, Parvish Musaraf E, Shyamala S, Kumar S (2022) ATM fraud identification using machine learning. IJIRE-V3I03–74–77 3(3)

5. Bhattacharjee S, Sharma K, Pragati K, Shaw A, Giri S, Chatterjee B (2022) Covered face detection for enhanced surveillance using deep learning. IJIRT 8(11). ISSN: 2349–6002

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