Ett ständigt växande antal människor världen över använder sig numera av biometriska system istället för lösenord när de ska hålla sina tillgångar säkra. Det finns flera anledningar till att biometriska system har blivit ett så stort fenomen idag, bland annat på grund av dess höga grad av säkerhet. Eftersom varje människa har unika biometriska attribut leder detta till ett system som är oerhört säkert. Denna studie syftar till att utföra en systematisk litteraturstudie, där vi avgränsar oss till att undersöka hur man kan mäta säkerhetsaspekter hos två av dagens mest tillämpade biometriska system, nämligen fingerprint scanner och face recognition. Resultaten av denna litteraturstudie visar bland annat att båda systemen är mycket säkra och att det inte enbart finns ett sätt att mäta säkerheten hos de två ovannämnda biometriska systemen utan flera. / Biometric systems are becoming increasingly popular around the world and it has become more common among people to use biometric systems instead of passwords when they are to keep their assets safe. There are many reasons why biometric systems have become such a phenomenon today, among other things because of its high degree of security. Because no human has the same biometric attributes as the other this leads to a very safe system. In this study, two different biometric systems, namely fingerprint scanners and face recognition, and their security aspects are addressed. These two systems are two of the most widely used biometric systems today. A systematic literature study has been carried out aiming at examining how to measure the safety of a biometric system according to previous research studies and which of the two selected biometric solutions showing the greatest safety with the found test methods. Based on the answers we received from the literature study, we concluded that both systems were very safe and moreover, we also found that there is not only one way to measure the safety of biometric systems but several different.

This thesis describes a conceptual design of touchless fingerprint sensor and design, implementation and testing of its firmware, which is a composition of hardware implemented in VHDL and a program implemented in C. Result of this thesis can be used as the first step of building an industrial solution.