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

Askar Boranbayev; Seilkhan Boranbayev; Assel Nurusheva

doi:10.1007/978-3-030-01057-7_53

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

Askar Boranbayev, Seilkhan Boranbayev, Assel Nurusheva

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

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 language	English
Pages (from-to)	690-702
Number of pages	13
Journal	Advances in Intelligent Systems and Computing
Volume	869
DOIs	https://doi.org/10.1007/978-3-030-01057-7_53
Publication status	Published - Jan 1 2018

Keywords

Algorithm
Classification
Detection
Localization
Method
Model
Neural network

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

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

Cite this

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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.",

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AU - Nurusheva, Assel

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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.

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KW - Detection

KW - Localization

KW - Method

KW - Model

KW - Neural network

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

Abstract

Keywords

ASJC Scopus subject areas

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