Distortion-invariant Face Recognition Using a Projection Slice Synthetic Discriminant Function Based Algorithm

摘要

This projection slice theorem has been used to create synthetic discriminant function (SDF) based matched filters that are capable of discerning rotation and scale distortions. In this paper, we propose to use the projection slice algorithm for invariant face recognition that is capable of accommodating in-plane and out-of-plane 3D distortions. The projection slice algorithm is applied to train images in order to synthesize a composite image to represent each class. The optoelectronic fringe-adjusted joint transform correlator (JTC) technique is then used to correlate the test images with the composite images of each class. The fringe-adjusted JTC technique has been chosen due to its superior performance over alternate JTCs and the feasibility of its implementation in the all-optical domain. Simulation results are furnished to prove the effectiveness of the proposed system.