Analyzing methods of recognition, classification and development of a software system

Askar Boranbayev, Seilkhan Boranbayev, Assel Nurusheva

Research output: Contribution to journalArticle

Abstract

The solution of the face detection problem and image classification has important practical significance and research interest. For the successful operation of face detection systems and image classification algorithms are needed to ensure high speed and accuracy of detection. In systems of automatic face recognition and image classification, an important and complex task is to localize them, due to variations in scale, posture, dimming, lighting, facial expressions and background reflections. Despite the existing methods of solving this problem, the task of improving localization remains extremely urgent. The article explores and analyses modern methods of face detection and image classification. A face recognition software system has been developed.

Original languageEnglish
Pages (from-to)690-702
Number of pages13
JournalAdvances in Intelligent Systems and Computing
Volume869
DOIs
Publication statusPublished - Jan 1 2018

Fingerprint

Face recognition
Image classification
Dimming (lamps)
Lighting

Keywords

  • Algorithm
  • Classification
  • Detection
  • Localization
  • Method
  • Model
  • Neural network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Analyzing methods of recognition, classification and development of a software system. / Boranbayev, Askar; Boranbayev, Seilkhan; Nurusheva, Assel.

In: Advances in Intelligent Systems and Computing, Vol. 869, 01.01.2018, p. 690-702.

Research output: Contribution to journalArticle

@article{52cedcd003444e97afb36d8c8ab25b68,
title = "Analyzing methods of recognition, classification and development of a software system",
abstract = "The solution of the face detection problem and image classification has important practical significance and research interest. For the successful operation of face detection systems and image classification algorithms are needed to ensure high speed and accuracy of detection. In systems of automatic face recognition and image classification, an important and complex task is to localize them, due to variations in scale, posture, dimming, lighting, facial expressions and background reflections. Despite the existing methods of solving this problem, the task of improving localization remains extremely urgent. The article explores and analyses modern methods of face detection and image classification. A face recognition software system has been developed.",
keywords = "Algorithm, Classification, Detection, Localization, Method, Model, Neural network",
author = "Askar Boranbayev and Seilkhan Boranbayev and Assel Nurusheva",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-030-01057-7_53",
language = "English",
volume = "869",
pages = "690--702",
journal = "Advances in Intelligent Systems and Computing",
issn = "2194-5357",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - Analyzing methods of recognition, classification and development of a software system

AU - Boranbayev, Askar

AU - Boranbayev, Seilkhan

AU - Nurusheva, Assel

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The solution of the face detection problem and image classification has important practical significance and research interest. For the successful operation of face detection systems and image classification algorithms are needed to ensure high speed and accuracy of detection. In systems of automatic face recognition and image classification, an important and complex task is to localize them, due to variations in scale, posture, dimming, lighting, facial expressions and background reflections. Despite the existing methods of solving this problem, the task of improving localization remains extremely urgent. The article explores and analyses modern methods of face detection and image classification. A face recognition software system has been developed.

AB - The solution of the face detection problem and image classification has important practical significance and research interest. For the successful operation of face detection systems and image classification algorithms are needed to ensure high speed and accuracy of detection. In systems of automatic face recognition and image classification, an important and complex task is to localize them, due to variations in scale, posture, dimming, lighting, facial expressions and background reflections. Despite the existing methods of solving this problem, the task of improving localization remains extremely urgent. The article explores and analyses modern methods of face detection and image classification. A face recognition software system has been developed.

KW - Algorithm

KW - Classification

KW - Detection

KW - Localization

KW - Method

KW - Model

KW - Neural network

UR - http://www.scopus.com/inward/record.url?scp=85060444737&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060444737&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-01057-7_53

DO - 10.1007/978-3-030-01057-7_53

M3 - Article

VL - 869

SP - 690

EP - 702

JO - Advances in Intelligent Systems and Computing

JF - Advances in Intelligent Systems and Computing

SN - 2194-5357

ER -