By means of the Karhunen–Loeve transform, the original palmprint images are transformed
into a small set of feature space, called “eigenpalms”, which are the eigenvectors of the
training set and can represent the principle components of the palmprints quite well. Then,
the eigenpalm features are extracted by projecting a new palmprint image into the subspace
spanned by the “eigenpalms”, and applied to palmprint recognition with a Euclidean …