The Research Of Fingerprint Identification System Algorithm About Controlling Access Bank Vault Door

Fingerprint identification is widely used as a password because its features such as convenient, unique, etc. The applications of fingerprint identification are in all fields such as Attendance records, Social insurance management, the lock on door and car security controls, etc. But, due to the influence of unfavorable factors,such as the disadvantages of computer technology and the security vulnerabilities of traditional fingerprint algorithm, etc. Authentication system based on fingerprint identification in the fields of finance, customs, army, still has some security issues, where involving state secrets, needing to the highest level of security, protecting confidential information. The research of fingerprint identification system in the special fields has profound theoretical and practical significance for the stable operation of the safety management system and rapid development in the field of army and bank.After understanding the current status of research of fingerprint identification algorithm and applications of fingerprint identification, and then through depth analysis the identification algorithms existed and its results to find out some ways,in which the shortcomings of those algorithms can be overcome. finally, it come up,a set of fingerprint authentication system for managing vault door,improving its safety factor. The main contents including: making an in-depth research of its theory and application of the current fingerprint identification technology,on the fingerprint image processing technique; then further analyzing some core algorithms of image processing, including quality assessment and enhancement. The following are the specific research.Firstly, improving the evaluation of fingerprint image quality. The traditional methods have limitations from a single measurement, which detects a particular aspect and determines its quality grade. To solve those problems,this paper presents a the multi-index comprehensive evaluation method that both global and local information of image accord with a condition, they can use to measure each other. From different angles, the algorithm adopts the different indicators to measure the different characteristics of the image for comprehensive evaluation, improving the accuracy of image quality evaluation. Secondly, image enhancement using Gabor filter is the necessary step of pre-processing in the fingerprint identification. Taking advantage of sub-block position on the edge, the paper proposes the improved algorithm about calculating image sub-block frequency. The experiment proved that the algorithm not only can accurately calculate the frequency in boundary of the texture but also improve the effect of enhancement at the image edge of the area by Gabor filter.It lay the solid foundation for the follow-up feature points fully extracted. Then, in the fingerprint feature extracted and matched phase, after making the comparison of different used ways, the matching method based on detailed template is adopted in the paper, quickly and accurately extract the image feature points. Also, this paper take the method using detail point to achieve the purpose of determining whether two images from the same fingerprint. Finally, being in line with the requirements of high security of bank, fingerprint identification system of controlling access bank vault door is developed, including quality assessment, effectively image enhancement and matching, alarm unit etc. And each module is to strengthen the security. Experiments show that the system not only can be running stable, but also improves the safety factor and strengthen information confidential.By verifying that the proposed fingerprint identification system of controlling access bank vault door have high accuracy and stability, it can accurately classify fingerprint quality, enhance image and accurately identify personnel identity, which provides effective guarantee for the safe management of bank vault door.