Face Recognition using Python and OpenCV
- A review
Paras Saini1, Sanskar2, Kritika Singh3, Dashrath Nandan4, Navneet Singh 5, Er. Kumud Sachdeva6
1Department of Computer Science, Chandigarh University, Mohali, India
2Department of Computer Science, Chandigarh University, Mohali, India
3Department of Computer Science, Chandigarh University, Mohali, India
4Department of Computer Science, Chandigarh University, Mohali, India
5Department of Computer Science, Chandigarh University, Mohali, India
6Department of Computer Science, Chandigarh University, Mohali, India
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Abstract – Face detection is a computer means of determining the locations and sizes of human faces in video and photographs. It detects countenance but ignores objects like as buildings, trees, and objects. Human visual awareness is a hot topic in the computer vision world right now. Human facial localization and identification are frequently the first steps in applications such as video surveillance, human-computer interface, face recognition, and image management. Although a generic face picture is frequently accessible, identifying and monitoring human faces may be required for face recognition and/or countenance analysis. The subject of computer-based face recognition employing impartial facial data as an analysis is still mostly unknown. Given how people see faces and how they differ from verification robots, it should be interesting to see how machines favour distinct countenances rather than offering face recognition challenges. As a result, this work investigates the subject of face recognition utilizing inadequate facial information. The experiment is based on the use of Python in conjunction with OpenCV (Open Computer Vision) for accurate classification and identification of the face. Throughout this work, we will develop Face Detection and Tracking using Har characteristics
Key Words: Face detection, identification, Tracking, surveillance, verification, Face Recognition, Convolution neural network (CNN), Linear Binary Pattern (LBP), Graphical User Interface(GUI)
