Automated Fingerprint Identification Technology And Its Application

The fingerprint identification is one of the most important biological technologies that include the knowledge of biology, computer science, image processing, pattern recognition and computing method. The application prospect of living fingerprint identification technology is extensive and the system of fingerprint attendance checking is an example that adopts this technology.In this thesis, the developments and applications of the fingerprint recognition technology is introduced, including the theory of fingerprint recognition system and the preprocessing of fingerprint image. By studying each step of fingerprint-image process and combining Uareu SDK developed by American DigitalPersona Company, we add an improved algorithm of fingerprint classification which improves the speed of fingerprint identification efficiently on the case of large fingerprint database. We smooth the fingerprint image with orientation field, present an improved algorithm to get the local orientation in order to reward the singular points, and their relationship. We also get the novel parameters after a larger number of experiments. The algorithm has been tested on the NIST-4 fingerprint database.We also analyses and designs a system of fingerprint attendance checking and introduces function of each module, design for software, and circumstantiality of application in practice. The successful application of the system develops the more vast market of fingerprint identification, and further leads the technology of fingerprint identification to the public and the industry.