Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN

Illumination Invariant Face Recognition Using Fuzzy LDA and FFNN

The most significant practical challenge for face recognition is perhaps variability in lighting intensity. In this paper, we developed a face recognition which is insensitive to large variation in illumination. Normalization step including two steps, first we used Histogram truncation as a pre-processing step and then we implemented Homomorphic filter. The main idea is that, achieving illumina...

Illumination Invariant Face Recognition

Illumination Invariant Face Recognition

This paper introduces a system in which the face recognition is carried out with the help of the local feature descriptors. As today face recognition is a very active area of research, a system which carries out the robust face recognition is needed to be developed. Face recognition is used in various fields of security and access control, surveillance military etc. here the system is developed...

Illumination Invariant Face Recognition

Face Recognition is a term that includes several sub-problems. Though face recognition have been a grown up research area, however, there still remain many problems that must be overcome to develop a robust face recognition system that works well under various circumstances such as illumination, pose and expressions variations. Such variations have proven to be one of the biggest problems of fa...

Illumination Invariant Face Recognition Using Photometric Stereo

In this paper, we propose an elegant approach for illumination invariant face recognition based on the photometric stereo technique. The basic idea is to reconstruct the surface normal and the albedo of a face using photometric stereo images, and then use them as the illumination independent model of the face. And, we have investigated the optimal light source directions for accurate surface sh...