“Electronic system for accepting payments for market services” is a functional subsystem of the Integrated Automated Banking System of a commercial bank (IABS).

Reception system payments



The biometric personal identification system “FB BioAccept” is designed to identify an employee or client using a fingerprint. The FB BioAccept system is not an independent information system, but is a service system that provides various information systems with service functions for personal identification, authentication and for searching for the desired employee or client in the fingerprint database. There are also service functions for registering and deleting a fingerprint in the fingerprint database.


Basic information

Personal identification by fingerprints is today one of the simplest, most accessible and sufficient
reliable methods of personal identification. Thanks to the low cost of devices that scan a fingerprint image, fingerprint identification systems are widely available. Therefore, they are widely used for the purposes of personal identification and ensuring information security in a wide variety of information systems, from the simplest personnel time and attendance systems to the authorization of financial transactions in automated banking systems and remote banking systems.

Tasks solved by the “FB” systemBioAccept

In the simplest case, a biometric identification system can be used to automatically record working hours and
control of the arrival and departure of personnel. In the vast majority of such applications, the fingerprint database contains from several tens to several thousand fingerprint templates. Almost any implementation of a biometric identification system is well suited for solving problems of this scale.

However, the situation changes dramatically if it is necessary to identify clients in the corporate database of large
businesses or in an automated banking system where hundreds of thousands or even millions of fingerprints will be stored in a fingerprint database. Moreover, in most applications, the system must identify a client or employee in no longer than one second. In addition, the biometric identification system must meet strict requirements for performance, scalability, reliability and fault tolerance imposed on the enterprise information system integrated with it. IN
otherwise, the biometric identification system will become a “weak” link in the system, worsening the performance characteristics and quality of work of the entire complex. Personal identification on a corporate scale is a task of a completely different level, the solution of which requires much more advanced biometric identification solutions, originally designed to solve problems on a corporate scale. The FB BioAccept system is a universal biometric identification system designed to solve a wide range of personal identification tasks, including corporate-level tasks. Thanks to the cluster architecture, FB BioAccept provides high performance and scalability, and in terms of reliability and fault tolerance, it meets the stringent requirements of enterprise-scale tasks.

Advantages of the “FB” systemBioAccept

FB BioAccept has a number of advantages that make it stand out from competing biometric identification systems:

· Possibility of integration with any information systems;

· Equally well suited for both enterprise-level and enterprise-scale systems;

· “Active/Active” cluster architecture;

· The cluster is implemented at the FB BioAccept software level, and not at the operating system level, so no special requirements are imposed on the operating system;

· High reliability and fault tolerance;

· High performance;

· Scalability;

· Lack of a single point of failure in the system;

· Possibility of connecting any number of servers or personal computers to the system without stopping the system;

· Proportional increase in system performance when adding new servers to the cluster;

· Identification speed is practically independent of the speed of the interserver connection;

· Servers in the FB BioAccept cluster system can be connected to each other via the company’s local network;

· As part of a cluster, you can use servers and personal computers of different generations and with different performance characteristics.

Since within the clusterFB BioAccept can be used on servers and personal computers of different generations to increase
system performance, any free computing resources of the enterprise can be included in the cluster, including decommissioned obsolete servers, personal computers or excess computing resources of operated servers as virtual machines. At the same time, the insufficient reliability of each individual cluster node will be compensated for
the presence of several redundant nodes.

The ability to use free and redundant computing resources of an enterprise can significantly reduce the cost of system ownership without compromising system reliability. Using decommissioned servers until they are completely worn out and using the excess computing resources of operating servers allows an enterprise to increase the efficiency of investments previously made to purchase servers.


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