Propose of a Hardware Implementation for Fingerprint Systems

Fingerprint is graphical flow-like ridges presents on human fingers. Each fingerprint is unique, offering a clear and unambiguous method to identify an individual. The uniqueness of each fingerprint is determined by fine details embedded in its overall structure, named minutiae. Fingerprint classification system is CPU time intensive, usually implemented in software. This paper presents an alternative way to identify the minutiae from fingerprints, aiming real-time processing. In the first part is implemented the alternative algorithm in software (Delphi) and after this is presented an architecture to be implemented using a configurable devices (FPGA). The performance of this algorithm, in hardware and software, are analyzed, presenting the spent time within each system block.