The research work presented in this book is mainly concerned with the upcoming challenge in face biometric i.e. recognizing faces altered due to plastic surgery. Recently, the ability of varied algorithms expresses intricacy in recognizing face invariant to plastic surgery since it has the characteristic of texture deviations of the skin. Even though plastic surgery is looked to be an inspiring concern in the domain of face recognition, the theme has to be restudied regarding theoretical and investigational perspectives. Further, this recognition procedure is extremely exploited for the persistence of authentication and security via analysis of images and computerization. Moreover, as per the researchers and scientists, the plastic surgery face recognition of humans is a challenging trait, and hence this research work contributes three plastic surgery face recognition models. The performance of the recognition models is investigated using some measures like accuracy, specificity, sensitivity, F1Score, FDR, FNR, FPR, MCC, NPV, and precision respectively for various plastic surgeries and skin peeling, and the superiority of the developed models are proved.