Employing Principal Component Analysis to represent input image of faces as a linear Combination of amorphous facial structures called "Ghost Faces" or "Eigenfaces" thereby reducing dimentionality of the data and improving performanc
Used PCA algorithm for compressing the image sizes and then classified using KNN classifier
Employing Principal Component Analysis to represent input image of faces as a linear Combination of amorphous facial structures called "Ghost Faces" or "Eigenfaces" thereby reducing dimentionality of the data and improving performanc
Used PCA algorithm for compressing the image sizes and then classified using KNN classifier