Face Authentication and Makeup detection
| Author(s) | : | Meenakshi, Mangesh, Gaurav, Vivek |
| Institution | : | Student, Computer Department, Trinity Academy Of Engineering, Maharashtra, India |
| Published In | : | Vol. 3, Issue 1 — January 2016 |
| Page No. | : | 117-124 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Facial makeup has the ability to alter the appearance of a person. It reduces accuracy of face recognitionsystem. To develop a face recognition system that is potent to facial makeover, we extract feature from local patches offace and perform correlation mapping between non-makeup and makeup face with the help of PCA (PrincipalComponent Analysis). Skin color tone, skin smoothness, texture and highlight are the major aspects of facial makeup.Using these all feature we calculate the attribute difference between the faces. The performance of the system getsimproved by using patch selection scheme and discriminative mapping techniques. A complete system is then developedfor face verification utilizing the makeup detection result. The combination of PCA+PLS approach gives high reliabilityto the system. We experiment the system on a large dataset of images up to 500 pairs.
Meenakshi, Mangesh, Gaurav, Vivek, “Face Authentication and Makeup detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 1, pp. 117-124, January 2016.
