Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)

A simple yet effective loss function for face verification.

Deep Face Model Compression

A MATLAB toolbox for classifier: Version 1.0.7

This project is an implementation for "Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-quality 3D Faces".

基于PCA的人脸识别

A GPU-accelerated real-time face recognition system based on classical machine learning algorithms

Face Spoofing Detection Using Texture Analysis

Implemented and evaluated four basic face recognition algorithms: Eigenfaces, Fisherfaces, Support Vector Machine (SVM), and Sparse Representation-based Classification (SRC) on YaleB dataset

This system can match human face over a webcam against the pictures stored in a database, primarily by matching facial features such as face, nose and eyes.

Face detection and recognition using Fisherfaces and Eigenfaces.

Approach at solving the problem of Face Recognition using dimensionality reduction algorithms like PCA and LDA

Scripts for the paper: Generalized 2-D principal component analysis by Lp-norm for image analysis.

Real-Time face recognition with attendance system using MATLAB

Face Recognition using Independent Component Analysis (ICA)

This repositories contains implementation of various Machine Learning Algorithms such as Bayesian Classifier, Principal Component Analysis, Fisher Linear Discriminator, Face Recognition and Reconstruction, Gaussian Mixture Model based Segmentation, Otsu's Segmentation, Neural Network etc. Relevant data sets and results are also included.

Matlab based implementation for doing face recognition using Discriminative KSVD technique.

A machine learning project that I worked on in Summer 2019 during my internship where I used MATLAB to train AlexNet to perform facial recognition in real-time to identify people. This was my first time using MATLAB.

L2 Orthonormal Face Recognition Performance under L2 Regularization Term

face Recognition And Track using MATLAB