European Journal of Molecular & Clinical Medicine

In this modern world, every people use ATM machines for withdrawal and transferring cash. This research is based on implementing recognizing Fingerprint mechanism in the ATM System. We selected this in order to increase the security of the customers to make easy transaction. Each human being has different fingerprint minutiae characteristics hence this process will be more applicable. There is no fear of losing the ATM card and no requirement to carry ATM card always. By comparing various technologies that are used so far in ATM security, it is observed that fingerprint recognition technology performs better and safer than other technologies. This is making easy and protected transaction and also maintaining user-friendly environment with the user.
This process is one of the most promising technologies at electronic money transaction. The growth in the field of electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. People greatly depend on the Automated Teller Machine (ATM) for conveniently meeting their banking needs. However, there are numerous advantages in this system, the ATM fraud has recently become more threatening issue. This system helps in preventing the ATM robberies and misused by wrong person. We proposed the system to prevent the actions of breaking or damaging the machines, threating the ATM user’s denial of transactions and any other ATM user by invalid users or mask.

In the technological advances in financial infrastructure, most bank customers prefer to use Automatic Teller Machines (ATM) for carrying out their banking transactions. To improve the security of these transactions, a new generation ATM machine which is based on face recognition system which replaces ATM card with RFID tag. In this, high quality image has important role in recognition process. Face image is used for authentication purpose. Firstly, the face image of particular person is compared with the database image. Then the compared output result is sent to the control unit through serial communication. If an unauthorized person is identified, an alert message is sent to the corresponding user. Thus, an ATM model which provides security by using Facial verification software by adding up facial recognition systems can reduce forced transactions to a great extent and provide hard-secure authentication. Here Raspberry Pi microcontroller is used in the controlling part