Models and Methods for Solving Face Recognition Problem by Photos

DOI

10.2991/csit-19.2019.41How to use a DOI?

Keywords

face recognition, face detection, intelligent technology, histogram equalization; color image segmentation

Abstract

Automatic detection and detection technologies are widely used in different areas. This article contains analysis of a face recognition problem, description of the problem, mathematical formulation of the problem, analysis of methods for solving it, proposed approach, and the results of the experiment. The proposed approach to solving the problem as a set of methods (i.e., histogram equalization; color image segmentation in RGB color space based on color saliency; measure distances between markers attached to facial landmarks; nearest neighbor algorithm) implemented at different steps assures a positive result. The results obtained in the course of experimental studies allow us to conclude that the developed software based on the above methods also provides a positive result.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Farit Gabdiev
AU  - Nafisa Yusupova
AU  - Olga Smetanina
AU  - Ekaterina Sazonova
PY  - 2019/12
DA  - 2019/12
TI  - Models and Methods for Solving Face Recognition   Problem by Photos
BT  - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)
PB  - Atlantis Press
SP  - 236
EP  - 242
SN  - 2589-4900
UR  - https://doi.org/10.2991/csit-19.2019.41
DO  - 10.2991/csit-19.2019.41
ID  - Gabdiev2019/12
ER  -