• Dr. Harish B G
• Chetankumar G S
• Akhila N
• Rachana S P
• Pavan S Hatti ,Lakshmi D M

The use of Automated Teller Machines (ATMs) has become an integral part of our daily lives, enabling convenient and secure access to financial services. Traditional ATMs require the use of physical cards, which can be prone to loss, theft, or damage. In recent years, advancements in biometric technologies have paved the way for innovative solutions, such as card-less ATM transactions using face recognition. This project aims to develop a robust and secure system for card-less ATM transactions by leveraging the power of face recognition technology. The system eliminates the need for physical cards and replaces them with a biometric authentication method based on facial features. By capturing and analyzing the unique facial characteristics of users, the system can accurately identify and authenticate individuals, ensuring secure access to their bank accounts.

Cardless ATM, face recognition, biometric authentication, facial features, secure access, face detection, face recognition, transaction authorization, pre-registered database, anti-spoofing mechanisms, multi-factor authentication, convenience, security, user-friendly, banking experience.

"DEEP LEARNING BASED CARD-LESS ATM USING FINGERPRINT AND FACE RECOGNITION TECHNIQIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h244-h251, July-2023, Available :http://www.jetir.org/papers/JETIR2307729.pdf

"DEEP LEARNING BASED CARD-LESS ATM USING FINGERPRINT AND FACE RECOGNITION TECHNIQIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph244-h251, July-2023, Available at : http://www.jetir.org/papers/JETIR2307729.pdf