Optimization of the work of the finger prints database by clustering

Information security is the most important task of each organization. In order for the data not to fall into the hands of intruders, it is necessary to have up-to-date system protection. One of the secure methods in the modern world is biometric authentication, but as the amount of biometric data grows, the database becomes slower. In order to avoid this, you can optimize the database by storing the more similar fingerprints in separate tables, and to define these tables, you can use clustering, which itself will break a large number of fingerprints into separate table clusters. The purpose of this article is to describe the use of clustering to optimize the performance of a fingerprint database.