The use of face as a biometric feature has been widely accepted and used in security and surveillance systems. Recent studies have made significant advancements to address various challenges in face recognition such as illumination, age, pose and disguise. Another important covariate is recognizing faces with pre-and-post facial plastic surgery. Facial plastic surgeries alter the geometry and texture of facial regions, the extent of which is dependent on both the number, and the type of surgeries performed. The increasing reach of plastic surgery and its expanding user base present an indispensable challenge that must be dealt with while devising robust face recognition systems. In this paper, we present Invariant Scattering transform based feature extraction to compute translation invariant representation at local and global levels that is stable against plastic surgery variations. The identification accuracy achieved by the proposed algorithm is over 97% at rank-10 on the IIITD plastic surgery face database. © 2018 IEEE.