iris-detection

Some light-weight blink detection algorithms written in C++.

Iris flower classification using KNN and Random forest algorithm

This project focuses on iris detection using deep learning techniques. The model architecture combines the power of ResNet152V2, a pre-trained convolutional neural network (CNN), with additional convolutional layers to accurately detect and localize iris regions in images.

This repository contains an implementation for calculating human iris center using CNN model built by PyTorch. The CNN architecture and dataset are attached. It is apart of Assignment2 in Machine Learning course for ROCV master's program at Innopolis University.

A real-time eye gaze tracking prototype using Python, OpenCV, and MediaPipe.

Zaawansowany system uwierzytelniania biometrycznego wykorzystujący techniki rozpoznawania twarzy.

Daugman's algorithm for Iris detection

Repo for Biometry project, part of IAD study program at Faculty of Mathematics and Information Science, Warsaw University of Technology

👀 Face, eyes and iris detection using OpenCV, built-in camera and Raspberry Pi camera Module

虹膜识别的一个项目

Daugman's algorithm for Iris detection

Official implementation of the pupillometry system called PupilSense proposed in the article "PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild".

Real-time Face and Iris Landmarks Detection using C++

A collection of deep learning frameworks ported to Keras for face analysis.