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

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.

Iris flower classification using KNN and Random forest algorithm

Daugman's algorithm for Iris detection

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

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

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

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.

虹膜识别的一个项目

Daugman's algorithm for Iris detection

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