Face Recognition Using LTP Algorithm

These approaches utilize different features for face recognition purpose. The feature utilized for face recognition are shape, distance between two traits of face, texture features for face. Texture features are particularly susceptible to the resolution of images, when the resolution changes the calculated textures are not accurate. Texture features computed for low resolution face images does not provide better feature information. So there is a big issue in face recognition for low resolution images. EULBP (Equalized Uniform Local binary Pattern) has been implemented for the purpose of low resolution but it does not provide better results up to an extent. The purpose of the research is to improve the accuracy for the low resolution images. By analysing various approaches for face recognition there is need to develop a new approach which can provide better results using texture features for blurred images. We will use LTP algorithm. LTP partially solves the noise-sensitive problem by encoding the small pixel difference into a separate state.