Técnica eficiente para el reconocimiento facial global utilizando Python y Opencv en imágenes 2d.

The present work of degree, is a research that deals with the use of efficient techniques for global face recognition using Python and OpenCV carried out in the career of Information Systems of the Faculty of Engineering and Applied Sciences of the Technical University of Cotopaxi. We collected information through a visit to the students of the Information Systems career that serve us for the analysis and comparison of the three techniques used (Fisherfaces, EigenFaces, LBPH). The work aims to determine an efficient technique that contributes to the area of global facial recognition, contributing significantly to the field of university security, taking into consideration the saving of resources for future implementation. Finishing this work with the respective analysis and interpretation of the research results, it has been determined that, of the three techniques studied, LBPH has the best results both in training time and face recognition efficiency reaching 100% in our tests.

• Автор: Larco Borja, Pablo Damián (author)
• Інші автори: Chacon Gavilanes, Luis Fernando (author)
• Формат: bachelorThesis
• Мова: spa
• Опубліковано: 2022
• Предмети: RECONOCIMIENTO FACIAL; OPENCV; PYTHON; FISHERFACES; LBPH; SISTEMAS COMPUTACIONALES
• Онлайн доступ: http://repositorio.utc.edu.ec/handle/27000/9186