AN EMBEDDED REAL-TIME FACE AND FINGER VEIN RECOGNITION SYSTEM FOR ATM SECURITY
Matlab,real time embedded
In this project, we propose a real-time embedded face and finger-vein recognition system for authentication on ATM devices. The system is implemented on an embedded platform and equipped with a novel face hardware modules: image acquisition and finger-vein recognition algorithm. The proposed system consists of three module, embedded main board, and human machine communication module. In this concept at first the RF get received and then in matlab face and finger vein image is given and it gets compared with the database image if it get authorized transaction page will be opened or else it get unauthorized and sms will be generated to crime branch and the owner.Private information is traditionally provided by using passwords or Personal Identification Numbers (PINs), which are easy to implement but is vulnerable to the risk of exposure and being forgotten. Biometrics, which uses human physiological or behavioral features for personal identification, has attracted more and more attention and is becoming one of the most popular and promising alternatives to the traditional password or PIN based authentication techniques. The face and finger-vein is a promising biometric pattern for personal identification in terms of its security and convenience. The vein is hidden inside the body and is mostly invisible to human eyes, so it is difficult to forge or steal. The non-invasive and contactless capture of finger-veins ensures both convenience and hygiene for the user, and is thus more acceptable. The finger-vein pattern can only be taken from a live body.