This is the real time face recognition sytem using LBPH algorithm using tkinter
-
Updated
Jan 10, 2023 - Python
This is the real time face recognition sytem using LBPH algorithm using tkinter
Face recognition using LBPH
Simple implementation of live face recognition using OpenCV implementing LBPH algorithm for recognizing faces and HaarCascade pretrained model to detect faces.
This is a personal project I recently started working on. The program is mostly in python, it imports libraries like OpenCV, NumPy, and firebase. The program uses the user's web camera to recognize a user's face using a model which was trained with the LBPH(Local binary Patterns and Histograms) algorithm.
A face recognition system built using feature matching with local binary patterns.
Facial recognition using Python + OpenCV.
An upgrade of the security_cam repo. Now recognizes faces.
worked on the problem of human detection, face detection, face recognition and tracking an individual
Face Detection using python
This is the project of my final project. I created a desktop application to secure files with facial recognition using the LBPH method and using the python language with the UI
Simple and easy train - your own dataset and use it to recognize faces.
A facial recognition application built with LBPH algorithm
A Face-Recognition Python program which Identifies a particular user using LBPH Algorithm and can perform the tasks if the user is authenticated.
Attendance Capture System Using Face Recognition is a application implemented using Python, OpenCV, Pandas, Pillow, PySimpleGUI that works like an application that records attendace using Face Recognition.
This Repository contains Code for Facial Recognition and Identification using Open CV and Python with Tkinter GUI interface.
A generic face detection algorithm using haar-cascades and tweaking to improve the performance on raspberry pi 3.
Face Detection | Recognition | Attendance | Online Classes
Classifies a given aadhaar image to real or fake by doing two levels of analysis.
Add a description, image, and links to the lbph topic page so that developers can more easily learn about it.
To associate your repository with the lbph topic, visit your repo's landing page and select "manage topics."