Face recognition on partially occluded images using compressed sensing

• Use of compressed sensing in face recognition.
• Random algorithm for detection of occluded parts of the face.
• Identification of individuals absed on the detected non-occluded portion.

In this work we have built a face recognition system using a new method based on recent advances in compressed sensing theory. The authors propose a method for recognizing faces that is robust to certain types and levels of occlusion. They also present tests that allow to assess the incidence of the proposed method.