Face recognition using Eigenfaces

Trains a face recognition system using the Eigenfaces algorithm and performs recognition.
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Actualizado 17 nov 2014

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The only images that this package accepts are .pgm (portable gray map) images. All images should be of the same size.
Training:
A training set of face images is needed to train the system. These images should be placed in a single folder in Matlab path.
Use the following function to train:
[images,H,W,M,m,U,omega]=trainingEF(trainingFolder);
where

trainingFolder - full path of the folder containing the training face images

Recognition:
The face image to be recognized should be a .pgm file too.

Use the following function for recognition:
testingEF(testImage,images,H,W,M,m,U,omega)

where
testImage - filename of the face image to be recognized (with extension),
images,H,W,M,m,U,omega - output arguments from the training function

The test image and the image from the training set that the test image corresponds to are shown as output.

Citar como

Sujeeth Kumaravel (2026). Face recognition using Eigenfaces (https://es.mathworks.com/matlabcentral/fileexchange/48479-face-recognition-using-eigenfaces), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2013b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Versión Publicado Notas de la versión
1.2.0.0

Description updated

1.1.0.0

Description updated

1.0.0.0