Web application for facial wrinkle recognition

- Tarasova, Olena (orcid.org/0000-0002-6001-5672) and Mintii, I.S. (orcid.org/0000-0003-3586-4311) (2022) Web application for facial wrinkle recognition CS&SE@SW 2021: 4th Workshop for Young Scientists in Computer Science & Software Engineering, December 18, 2021, Kryvyi Rih, Ukraine (3077). pp. 198-210. ISSN 1613-0073

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Abstract

Facial recognition technology is named one of the main trends of recent years. It’s wide range of applications, such as access control, biometrics, video surveillance and many other interactive humanmachine systems. Facial landmarks can be described as key characteristics of the human face. Commonly found landmarks are, for example, eyes, nose or mouth corners. Analyzing these key points is useful for a variety of computer vision use cases, including biometrics, face tracking, or emotion detection. Different methods produce different facial landmarks. Some methods use only basic facial landmarks, while others bring out more detail. We use 68 facial markup, which is a common format for many datasets. Cloud computing creates all the necessary conditions for the successful implementation of even the most complex tasks. We created a web application using the Django framework, Python language, OpenCv and Dlib libraries to recognize faces in the image. The purpose of our work is to create a software system for face recognition in the photo and identify wrinkles on the face. The algorithm for determining the presence and location of various types of wrinkles and determining their geometric determination on the face is programmed.

Item Type:	Article
Keywords:	pattern recognition, wrinkles, facial landmarks, the Viola-Jones algorithm, the Haar-Like features, OpenCV, DLib, image filters
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.4 Software Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	співробітн Ірина Мінтій
Date Deposited:	09 Nov 2022 12:08
Last Modified:	09 Nov 2022 12:08
URI:	https://lib.iitta.gov.ua/id/eprint/732478

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