Face recognition on surgically altered faces using principal component analysis
G. R. George, Rainu Boben, Bipin Plakkottu Radhakrishnan, L. Padma Suresh · 2017
The popularity of plastic surgery is increasing due to the enhancement and accessibility in that field. Plastic surgery procedure provides an efficient way to improve the facial appearance, which result in the reconstruction of facial features either globally or locally. The changes introduced by plastic surgery remains complicated to be analyzed by face recognition systems. This paper focus on recognition of face images before and after plastic surgery. Here, Viola-Jones algorithm is used to detect the face and modified PCA algorithm is used to recognize faces from images with some near real-time variations. This principal component analysis resolves the recognition problem for 2-D image of faces, using Eigenface Recognition algorithm.