Point of Sale (POS) Network with Embedded Fingerprint Biometric Authentication
TL;DR: An embedded fingerprint biometric authentication scheme for Point of Sale (POS) network as an additional security option to the ATM card is proposed and will solve the problems that may face the customers such as theft, counterfeiting, oblivion or loss the card.
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Abstract: The steady growth in electronic transactions has promoted the Automated Teller Machine (ATM) thereby making it the main transaction channel for carrying out financial transactions. Conventional method of identification based on possession of ID cards or exclusive knowledge like a social security number or a password are not all together reliable. However, this has also increased the amount of fraudulent activities carried out on Automated Teller Machines (ATMs) thereby calling for efficient security mechanisms and increasing the demand for fast and accurate user identification and authentication in ATMs. In this paper, an embedded fingerprint biometric authentication scheme for Point of Sale (POS) network as additional security option to the ATM card is proposed. A fingerprint biometric technique was fused with personal identification numbers (PIN's) for authentication to upgrade the security level. The proposed idea will solve the problems that may face the customers such as theft, counterfeiting, oblivion or loss the card. Therefore, the customer will be identified once putting his finger on the reader (based on finger scanning) and the system recognizes the customer without requiring keys or cards of support. We have distributed a questioner to 586 responders, the obtained results show the importance of fingerprint biometric authentication for POS network as additional security option to the ATM card.
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Citations
The Role of Biometric in Banking: A Review
Mehdi Marani,Morteza Soltani,Mina Bahadori,Masoumeh Soleimani,Atajahangir Moshayedi +4 more
TL;DR: This research paper focuses on conducting a comprehensive review and comparative analysis of various approaches for fingerprint identification, aiming to contribute to the understanding of effective and efficient methods in the context of ATM authentication.
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