The main aim of this paper is to add a new dimension to face
recognition by discussing this challenge and systematically evaluating
the performance of existing face recognition algorithms on a database
that contains face images before and after surgery. The next section
describes the types of plastic surgery that can affect the performance
of face recognition systems. Section II presents a detailed description
of different types of facial plastic surgery and Section III presents an
analytical study of plastic surgery on face recognition including an
experimental evaluation of six face recognition algorithms using a
facial plastic surgery database of 900 individuals. Finally, Section IV
discusses ethical and engineering challenges in this research domain.