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.

A face recognition system built using feature matching with local binary patterns.

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.

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

Simple and easy train - your own dataset and use it to recognize faces.

This is a Face recogniser program with opencv which can train the dataset and identity the person by the face

A facial recognition application built with LBPH algorithm

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

Face Detection & Recognition System

A Face-Recognition Python program which Identifies a particular user using LBPH Algorithm and can perform the tasks if the user is authenticated.

Using Face Recognition to send a mail 📧 , WhatsApp 📲 and launching AWS instance 💻

Face Detection & Recognition System made in JAVA using JavaCV

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.

Online interactive platform which resides on learners’ device for student evaluation and monitoring