This paper introduces, a proposed new identification method based on 3D
Ridglet Transform. First phase, it considers the three dimensional fingerprint
of human as a Personal Identification Number. Next, it produces the
required features using the
new proposed 3D Ridglet Transform. This
transform is a generalization of adapted 2D Ridglet form.
In the second phase we will consider the Back Propagation Neural Network
authentication process, the evaluation tests of the proposed algorithm on a
given database, for fifteen human Finger-Print, produce a perfect
identification results (in comparison with [12]).
Based on the evaluation test, we obtain that the authentication of the
allowed Human Finger-Print on a noisy data, with a noise level up to 69%
also with rotation of the input human Finger-Print up to 9 degree of
rotation.
