Biometric technology of personal recognition
Today, image processing is widely used in security systems to recognize people. For this study, machine learning algorithms were selected, in the presence of a limited amount of data. The work analyzed the subject area of face recognition, the relevance of this system in our time, biometric recognit...
| Autores: | , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Institución: | Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) |
| Repositorio: | Revista Política e gestão educacional |
| Idioma: | portugués inglés |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/19390 |
| Acceso en línea: | https://periodicos.fclar.unesp.br/rpge/article/view/19390 |
| Access Level: | acceso abierto |
| Palabra clave: | Object recognition system Algorithm Computer vision Biometric technologies Sistema de reconocimiento de objetos Algoritmo Visión por computadora Tecnologías biométricas Sistema de reconhecimento de objetos Visão computacional Tecnologias biométricas |
| Sumario: | Today, image processing is widely used in security systems to recognize people. For this study, machine learning algorithms were selected, in the presence of a limited amount of data. The work analyzed the subject area of face recognition, the relevance of this system in our time, biometric recognition of the «FaceID» system, several different methods for face recognition, and investigated in which areas of activity the «Face recognition» system is used for which purpose. As part of the study, a number of face recognition algorithms were analyzed. It has been proven that the entire face recognition system can be modeled using the Violy-Jones contour extraction method and tested with a successful recognition result of approximately 75%. The functional capabilities of the OpenCV computer vision library and other libraries are considered. |
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