Published Paper Details:

Security is a major issue in Automated Teller Machine (ATM). With the widespread utilization of electronic transactions, it is necessary to increase customers' recognition accuracy. Biometric systems can offer a secure mode of authentication to the customers. An Automatic Teller Machine (ATM) is an electronic machine which is used for accessing a bank account from anywhere without the help of bank staff. The user can perform several banking activities like cash withdrawal, money transfer, and print entry in a passbook with the help of an ATM. Since the number of crime related to ATMs has increased, the need to provide better security to ATMs has also increased. Some of the different technologies that are used to provide security to ATMs include - Biometric technology, RFID technology, etc. Biometric technology includes fingerprint and face recognition systems. In this paper, a survey of different technologies for ATM security is presented. There are some limitations to these technologies. By comparing various technologies, it is observed that fingerprint technology provides better security than other technologies. In this project, we used MatLab for face recognition. The 1st stage is face recognition. If face recognition is done successfully then RFID is activated. If they read the right string then they can get atm access otherwise the buzzer will go on. Nowadays the banking sector is one of the most important parts of a human's day-to-day life. Banking facilities are widely used by people for their economic activities.Due to the intermediary role of banks in the economy, they hold a unique locus across all sectors with prudent lending policies, environmental impact analysis, and efficient credit approval systems. The banks play a vital role in the lending process which is dispatched along with the credit risk, that is, when the borrower fails to repay the money borrowed and fails to satisfy the obligations, then the asset is said to be bad or Non-performing. A poor financial performance in an economy creates distress in the economic stability leading to an economic crisis. With the global initiatives undertaken, the Reserve Bank of India (RBI) developed the Banking Stability Map and published the Financial Stability Report in 2010. It is measured using five dimensions of the Stability Map, which are, Soundness(s), Asset Quality (Q), Profitability (P), Liquidity (L), and Efficiency (E).With the deteriorating asset quality and the financial health of banking institutions, lack of adequate fund and pressure of capital regulation makes the balance of stability in the Indian banking sector a challenge.