PECULIARITIES OF FACE RECOGNITION SYSTEM CREATION
Journal: Synergy of Science (Vol.8, No. 1)Publication Date: 2017-02-28
Authors : Gudonis V.M.; Anshakov N.A.;
Page : 0-0
Keywords : access control; face recognition; identification; authentication; biometric data; elastic graph matching; principal component analysis; hidden Markov models; personal data.;
Abstract
Modern access control system has some drawbacks. The authors suggest creating a system that uses face recognition to identify and authenticate the user. The modern level of development of computing tools allows to create that system, and it will be quite effective. Elastic graph matching, principal component analysis, hidden Markov models can be used to provide required effectiveness. It will be also necessary to provide sure difference between an alive person and his camera or video images. Therefore, the authors proposed to monitor blinking and heartbeat of an identified object. The authors also advise to carry out the calculation on the GPU instead of the CPU and use binary search trees and Fibonacci heap. This will give a significant gain in productivity and make available to use easily resource-intensive algorithms. The authors also classified the developed system and defined means of information security.
Other Latest Articles
- MANAGEMENT STRATEGY OF HYBRID WIND/ SOLAR SYSTEM
- EFFECT OF REDUCTION IN PRODUCTION TEMPERATURES ON PROPERTIES OF BITUMINOUS MIXES WITH AN ORGANIC WMA ADDITIVE
- STUDY ON IMPACT AND TENSILE PROPERTIES OF CONCRETE WITH COCONUT SHELL AS COARSE AGGREGATE
- IMPACT CHARACTERISTICS OF POLYMER MATRIX COMPOSITES
- The state and problems of compentitiveness of particular forms of economic activities in Ukraine
Last modified: 2017-02-16 19:31:48