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This code is PCA base face recognition programme. It reads nots(here 5) faces from ORL database and the rest (noc-nots) are used as test. PCA_Performance shows the recognition performance.

In order to be able to run this programme for ORL face database you need to download the following zip-file. Then copy this code in the folder which includes the face samples and then run this script. The zip-file is available at:...



The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct...



This Face Recognition System uses Kekre Transform for Face recognition depicted through a GUI.This GUI depicts the face recognition system developed through feature extraction by Kekre Transform Algorithm. There are several functions that are...



Subspace learning based face recognition methods have attracted many researchersd-deOao interests in recent years. In this
paper, a novel Laplacian Smoothing Transform (LST) is proposed to transform an image into a sequence, by which low...







This is a demonstration of the Volterrafaces face recognition system. This complete demo includes data file and can be run with various training and testing set sizes.

The algorithm implemented here was published in the following paper,...



Useful functions for face recognition research.
The PhD (Pretty Helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition....



The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as a...



In this we implement the face recognition algorithm proposed in

"Robust Face Recognition via Sparse Representation." by

John Wright, Allen Yang, Arvind Ganesh, Shankar Sastry, and Yi Ma. IEEE Transactions on Pattern...



This system incorporates motion detection, face detection and face recognition module. After that it emails the unrecognized faces and also makes a video clip.

The GUI is developed in Flash.

You will need to download the...



Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a...



Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, VB.NET, Java, and Delphi developers implement fast and precise face recognition and...



StarTrinity face recognition library is designed for biometric face login in web-based solutions. The library
Allows you to use human face as a password to authorize at your web site (face unlock feature)
Can be integrated into any...



We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization during face recognition. Feature extraction is performed on...



Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang,...



This project aims to let your house react around you using cheap electronics(like webcams) or sensors. Example: Changing digital paintings or music to your own taste when you walk into a room.(Face Recognition) Please Collaborate with us!



face recogntion technology.




We provide here a basic PCA classifier for a two class classification problem. Two class is the most common, is an pixel a brain lesion or not?, is this face of the home owner or not?

Multiple Sclerosis example:
An example is...



Many image problems require some kind of detection of objects, in which there is a natural variation in appearance of the objects between the images.

Using a basic PCA classifier, this script is able to execute two type of actions:...