Development Of Biometric Technology Research Articles

Развитие современных форм и технологий банковского обслуживания

The article reveals the problem of effective interaction of bank employees with customers, as well as the technological and innovative component of these relations. Currently, banks are focusing on the needs of the client and their satisfaction, on expanding the customer base and market share, which push the increase in profits into the background. It is this fact that forces credit institutions to invest in new projects to serve customers, while not causing inconvenience in the provision of services. The authors consider the possibility of improving existing forms of banking services by introducing new technologies and using biometrics technologies, which significantly reduce the time spent by client managers on departure and costs. To implement projects, the bank needs to attract partners in the face of IT companies and developers, as well as invest in the development of biometric technologies. The interaction of client managers of large, medium and small businesses, other clients – legal entities and individual entrepreneurs was chosen as the object of the study. The article analyzes the main forms of banking services and presents the classification of the remote form. The authors analyze the number of accounts with remote access for the period 2015-2020. Using the formula of the total cost of service, the authors reveal the effectiveness of the introduction of remote technologies by banks over the traditional form of service. The article also highlights focusing of modern banks on offering ecosystem products to customers, and analyzes the profitability of these activities. Based on the report on financial results, calculations were made and a forecast of the profitability of the implemented project was made using indicators of the present net income and the rate of return. Statistical data from the official websites of banks and the Federal State Statistics Service, as well as articles, other information materials of printed publications and Internet resources were used as an information base. In the course of the research, the authors used methods of statistical and comparative analysis, and gave a list of relevant sources.

Efficient and Privacy-Preserving Online Fingerprint Authentication Scheme over Outsourced Data

With the pervasiveness of mobile devices and the development of biometric technology, biometric identification, which can achieve individual authentication relies on personal biological or behavioral characteristics, has attracted widely considerable interest. However, privacy issues of biometric data bring out increasing concerns due to the highly sensitivity of biometric data. Aiming at this challenge, in this paper, we present a novel privacy-preserving online fingerprint authentication scheme, named e-Finga, over encrypted outsourced data. In the proposed e-Finga scheme, the user's fingerprint registered in trust authority can be outsourced to different servers with user's authorization, and secure, accurate and efficient authentication service can be provided without the leakage of fingerprint information. Specifically, an improved homomorphic encryption technology for secure euclidean distance calculation to achieve an efficient online fingerprint matching algorithm over encrypted FingerCode data in the outsourcing scenarios. Through detailed security analysis, we show that e-Finga can resist various security threats. In addition, we implement e-Finga over a workstation with a real fingerprint database, and extensive simulation results demonstrate that the proposed e-Finga scheme can serve efficient and accurate online fingerprint authentication.

ОСНОВНЫЕ НАПРАВЛЕНИЯ СОЗДАНИЯ ИНФОРМАЦИОННОЙ СИСТЕМЫ ДЛЯ ИДЕНТИФИКАЦИИ ЛИЧНОСТИ ПО ФЕНОТИПИЧЕСКИМ ПРИЗНАКАМ ЧЕЛОВЕКА

The tempestuous and rapid development of biometric technologies based on both the static and dynamic identification signs of a person could not bypass one of the important spheres of life in modern society – the fight against crime. Most of the solutions related to personal identification by papillary patterns, iris and retina of the eye, drawing of veins on the arm and thermographic face cards are widely used in the access control and management systems, systems for protecting the automated information systems from unauthorized access to information. At the same time, the use of those signs in the investigation and disclosure of crimes is just beginning to be introduced into the activities of the law enforcement agencies of the Russian Federation. The use of the information systems in that area can significantly increase the effectiveness of the fight against crime, especially crimes against the person. Of particular interest is the use of data on the phenotypic signs of the suspect in the investigation of crimes, i.e. information about his height, weight, hair color, eyes, skin tone, and blood group. The article discusses the basic principles of creating an automated information system for identifying a person based on biological material left by persons who were present at the crime scene. It defines the complex of organizational and scientific issues that need to be solved when creating a system, ensuring its information security and software implementation. Also it proposes an algorithm for two-stage searching the information stored in the databases of the ISOD (UDS) services, based on modern data processing methods.

Human Gait Feature Extraction based-on Silhouette and Center of Mass

When someone walks, there is a repetitive movement or coordinated cycle that forms a gait. Gait is different, unique and difficult to imitate. This characteristic makes gait one of the biometrics to find out one's identity. Gait analysis is needed in the development of biometric technology, such as in the field of security surveillance and the health sector to monitor gait abnormalities. The center of mass is the unique point of every object that has a role in the study of humans walking. Each person has a different center of mass. In this research, through a series of processes in image processing such as video acquisition, segmentation, silhouette formation, and feature extraction, the center of mass of the human body can be identified using a webcam with the resolution of 640 x 480 pixels and the frame rate of 30 frames/second. The results obtained from this research were gait frames of 510 frames from 17 pedestrian videos. Segmentation process using background subtraction separates the pedestrian object image from the background. Silhouette gait was produced from a series of image enhancement processes to eliminate noise that interferes the image quality. Based on the silhouette, feature extraction provides the center of mass to distinguish each individual's gait. The sequence of center of mass can be further processed for characterizing human gait cycle for various purposes.

Research and Application of Fingerprint Recognition Based on MATLAB

With the development of biometric technology, fingerprint recognition technology continues to be widely used in practice due to its uniqueness and reliability, It trends to replace other traditional methods. By using Matlab as a simu- lation platform and making the best use of its tools, such as powerful graphics and multiple and practical toolbox, etc. The paper makes a series of image processing of the illustration of fingerprint recognition system. Finally, we extract the fin- gerprint image feature through the experiment.

Who's Who?

This article engages empirically with the futures of biometric identification. It does so by engaging with the current UK political debate regarding the introduction of identity cards, by participating in a trial of biometric technologies and by working with an organisational setting where ID cards would be introduced (an airport). The article suggests that, although social science can not predict the future, it can map out ways to engage with technological uncertainty, the challenges of producing and mobilizing identity and the politics of technology development. The article argues that detailed engagement with these areas is currently neglected and that such neglect leaves problematic spaces in discussions regarding the development of biometric technologies.

A telebiometric system mechanism model and biometric network protocol for the security of networked manufacturing

Networked manufacturing changes conventional enterprise activities. With a networked manufacturing system, enterprises are able to perform a range of activities, such as product planning, design, production, and marketing, in collaboration with international partners, regardless of geographical location. However, strict security measures are required, as the authentication and information transfers for networked manufacturing are conducted over a network. With the development of biometric technology, more and more enterprises are using the unique biometric data of individuals to verify the identity of users, in order to restrict and provide access to technology research centers or factory facilities. This paper analyzes the vulnerabilities of the biometric system used for access control and the authentication of access to confidential information in the networked manufacturing system. In addition, the biometric systems that can be built in an open network environment are classified into 9 general models, and a biometric network protocol is suggested that is secure and compatible with international standards.