Java Based Application Development for Facial Identification Using OpenCV Library

Askar Boranbayev; Seilkhan Boranbayev; Askar Nurbekov

doi:10.1007/978-3-030-55187-2_8

Java Based Application Development for Facial Identification Using OpenCV Library

Askar Boranbayev, Seilkhan Boranbayev, Askar Nurbekov

Nazarbayev University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

The main purpose of this article is to describe a developed application for identifying individuals. The application was developed using Java programming language. The OpenCV library was selected and used for recognition of image templates. Based on the methods that the OpenCV library classes offer, a software with a graphical user interface for detecting faces has been developed.

Original language	English
Title of host publication	Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	77-85
Number of pages	9
ISBN (Print)	9783030551865
DOIs	https://doi.org/10.1007/978-3-030-55187-2_8
Publication status	Published - 2021
Event	Intelligent Systems Conference, IntelliSys 2020 - London, United Kingdom Duration: Sept 3 2020 → Sept 4 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1251 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Intelligent Systems Conference, IntelliSys 2020
Country/Territory	United Kingdom
City	London
Period	9/3/20 → 9/4/20

Keywords

Identification
Image
Pattern
Processing
Recognition

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-55187-2_8

Cite this

Boranbayev, A., Boranbayev, S., & Nurbekov, A. (2021). Java Based Application Development for Facial Identification Using OpenCV Library. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2 (pp. 77-85). (Advances in Intelligent Systems and Computing; Vol. 1251 AISC). Springer. https://doi.org/10.1007/978-3-030-55187-2_8

Java Based Application Development for Facial Identification Using OpenCV Library. / Boranbayev, Askar; Boranbayev, Seilkhan; Nurbekov, Askar.
Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2021. p. 77-85 (Advances in Intelligent Systems and Computing; Vol. 1251 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boranbayev, A, Boranbayev, S & Nurbekov, A 2021, Java Based Application Development for Facial Identification Using OpenCV Library. in K Arai, S Kapoor & R Bhatia (eds), Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. Advances in Intelligent Systems and Computing, vol. 1251 AISC, Springer, pp. 77-85, Intelligent Systems Conference, IntelliSys 2020, London, United Kingdom, 9/3/20. https://doi.org/10.1007/978-3-030-55187-2_8

Boranbayev A, Boranbayev S, Nurbekov A. Java Based Application Development for Facial Identification Using OpenCV Library. In Arai K, Kapoor S, Bhatia R, editors, Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. Springer. 2021. p. 77-85. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-55187-2_8

Boranbayev, Askar ; Boranbayev, Seilkhan ; Nurbekov, Askar. / Java Based Application Development for Facial Identification Using OpenCV Library. Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 2. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2021. pp. 77-85 (Advances in Intelligent Systems and Computing).

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Java Based Application Development for Facial Identification Using OpenCV Library

Abstract

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Keywords

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