A Distributed System for Biometrical Identification Based on Big Data Analysis

Abstract

This article explores the design and construction of national and larger international biometric identification databases. An analytical study of the resource efficiency problem of a system comprising multiple mobile local biometric readers connected through a limited communication channel with a central database is done. A suggested approach is to accelerate the computation process based on the partial storing of signs information for templates. The presented analytical models can be used for subsequent optimization.