DOI

The aim of the research is to compare and select software tools for rapid prototyping of face retrieval systems with arbitrary structure (parallel, cascade, combined) that satisfy the requirements of the problem being solved. The relevance of development of modeling tools for face retrieval systems (FaRetSys) was shown, selection of software tools (Simulink + Matlab) was substantiated: methods are previously debugged in Matlab, and then integrated into Simulink blocks. The concept of organizing a library for modeling FaRetSys is proposed. Functions and the methodology of using the library in solving modeling problems are given from point of view the block composition concept. The developed library was used to solve the variational problem of selecting the structure and adjusting the parameters of FaRetSys based on mathematical modeling in Simulink. A synthesized system with a parallel structure confirmed the increased accuracy of FaRetSys by using parallel FaRetSys and making a decision based on a comparison of subsystems operation results.

Original languageEnglish
Title of host publicationProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
EditorsS. Shaposhnikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-314
Number of pages3
ISBN (Electronic)9781538618103
DOIs
StatePublished - 6 Jul 2017
Event20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 - St. Petersburg, Russian Federation
Duration: 24 May 201726 May 2017

Publication series

NameProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

Conference

Conference20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
Country/TerritoryRussian Federation
CitySt. Petersburg
Period24/05/1726/05/17

    Research areas

  • face recognition, object-oriented modeling

    Scopus subject areas

  • Management Science and Operations Research
  • Control and Optimization
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Modelling and Simulation

ID: 49224660