FACE RECOGNITION TECHNIQUE FOR ATM SECURITY

In the recent decades the people are depending more on ATM machines for getting instant cash in anytime and anywhere. In related to these ATM machines are installing in every part of the country. As the ATM machines are growing, providing security level for ATM machines is the challenging factor. In the present days, ATM systems uses access card and PIN for identity verification. The technology advancement has bought different biometric identification technique like finger print, facial recognition and retina scanning. But still the security level is not compromising to customers. This model proposes a concept of providing two level security system in order to reduce the frauds like hacking of ATM cards, PIN stolen, Phishing attack etc., In this model Cryptobiometric system is adopted where biometric and cryptography are combined to achieve high security. Between face features and pairs of random vectors given by user, the two dimensional quantization of distance vectors process is used [1]. The cryptographic key generated is of 128 bits it is difficult for hacking. The merging of face features and random vectors are done by using MATLAB.