The Software System for Solving the Problem of Recognition and Classification

Askar Boranbayev, Seilkhan Boranbayev, Askar Nurbekov, Roman Taberkhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Data classification and data processing are relevant tasks in the field of automatic information processing. For successful functioning of the data classification and data processing software, the methods that provide high operation flow velocity and identification accuracy are necessary. The research showed that Viola-Jones and HOG (Histogram of Oriented Gradients) have good indexes of the effectiveness of identification and high working speed. Each of these methods are implemented by different approaches, and has their own advantages, disadvantages and limitations of applicability. The software system for solving the problem of recognition and classification has been developed based on these methods during work.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2019 Computing Conference
EditorsKohei Arai, Rahul Bhatia, Supriya Kapoor
PublisherSpringer Verlag
Pages1063-1074
Number of pages12
ISBN (Print)9783030228705
DOIs
Publication statusPublished - Jan 1 2019
EventComputing Conference, 2019 - London, United Kingdom
Duration: Jul 16 2019Jul 17 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume997
ISSN (Print)2194-5357

Conference

ConferenceComputing Conference, 2019
CountryUnited Kingdom
CityLondon
Period7/16/197/17/19

Keywords

  • Algorithm
  • Classification
  • Data
  • Method
  • Program
  • System

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Boranbayev, A., Boranbayev, S., Nurbekov, A., & Taberkhan, R. (2019). The Software System for Solving the Problem of Recognition and Classification. In K. Arai, R. Bhatia, & S. Kapoor (Eds.), Intelligent Computing - Proceedings of the 2019 Computing Conference (pp. 1063-1074). (Advances in Intelligent Systems and Computing; Vol. 997). Springer Verlag. https://doi.org/10.1007/978-3-030-22871-2_76