Fingerprint verification using Embedded Systems

Fingerprint verification using Embedded Systems

ABSTRACT
           
           Embedded system plays the most vital part in today’s communication world.  Security is becoming the primary need of every individual. Existing security measures rely on knowledge-based approaches like passwords or token based approaches such as swipe cards and passports to control access to physical and virtual spaces. Though ubiquitous, such methods are not very secure. Embedded system can be satisfactorily used to identify biometrics such as fingerprint, voice & ultimately for security purposes.
           Fingerprints are one of the first forms of biometric authentication to be used for law enforcement and civilian applications. Contrary to popular belief and despite decades of research in fingerprints, reliable fingerprint recognition is still an open problem. In this paper, we present specific contribution to advance the state of the art in this field
           Fingerprint sensors are getting small enough to be included in mobile devices to enable fingerprint verification be employed as an authentication tool when using the mobile devices for secure transactions. Fingerprint verification, however, is a computing intensive technology that requires a lot of floating-point computation. In this paper, we present the implementation of a fingerprint verification process in an embedded system environment based the StrongArm processor and the embedded Linux operating system.
           In this paper, we will focus on different methodologies for implementing fingerprint authentication in embedded systems, namely the DSP and SoC (System-on-Chip) approaches for Wireless Applications. The success of the implementation relies on the use of a fixed-point arithmetic only. The fingerprint verification component, the fixed-point component as well as the technique employed to pair up the two components are described in details.

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