Abstract
This article investigated the problem of using machine learning algorithms to recognize and identify a user in a video sequence.
 The scientific novelty lies in the proposed improved Viola-Jones method, which will allow more efficient and faster recognition of a person's face.
 The practical value of the results obtained in the work is determined by the possibility of using the proposed method to create systems for human face recognition.
 A review of existing methods of face recognition, their main characteristics, architecture and features was carried out. Based on the study of methods and algorithms for finding faces in images, the Viola-Jones method, wavelet transform and the method of principal components were chosen. These methods are among the best in terms of the ratio of recognition efficiency and work speed. Possible modifications of the Viola-Jones method are presented.
 The main contribution presented in this article is an experimental study of the impact of various types of noise and the improvement of company security through the development of a computer system for recognizing and identifying users in a video sequence.
 During the study, the following tasks were solved:
 – a model of face recognition is proposed, that is, the system automatically detects a person's face in the image (scanned photos or video materials);
 – an algorithm for analyzing a face is proposed, that is, a representation of a person's face in the form of 68 modal points;
 – an algorithm for creating a digital fingerprint of a face, which converts the results of facial analysis into a digital code;
 – development of a match search module, that is, the module compares the faceprint with the database until a match is found
Highlights
RESEARCHING A MACHINE LEARNING ALGORITHM and CPLFW data sets reachedModern methods of recognizing objects in video or imagesFOR A FACE RECOGNITION SYSTEM99.82 %, 95.45 % and 92.08 %, respectively [3].have a wide range of uses rangingSerhii Yevseiev [4] proposed a large cosine from the protection of private areas to the creation of special effects in films
To solve the problem of facial recognition, an algorithm based on the application of the Viola-Jones method, wavelet transform and the principal components method is proposed
The maximum deflection of the face relative to the camera lens was no more than 60 degrees
Summary
Serhii Yevseiev [4] proposed a large cosine from the protection of private areas to the creation of special effects in films. Large companies and small teams of enthusiasts create new approach-. Doctor of Technical Sciences, Professor Department of Cyber Security and Information Technology Simon Kuznets Kharkiv National University of Economics. PhD, Associate Professor cosine edge to precisely expand computer vision technologies. Olexander Shmatko PhD, Associate Professor the space selection boundary. They named their prepared model LMCL CosFace. They based their developed, but they have certain shortcomings. With the help of DeepFace technology from Face-
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Technology transfer: fundamental principles and innovative technical solutions
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
