An improved method for face recognition using local ternary pattern with GA and SVM classifier
Divya Tyagi, Akhilesh Verma, Sakshi Sharma · 2016
In current years, the binate codify of facial features, being local binary patterns (LBP) and local ternary patterns (LTP) has grown into face recognition. Those confined facet descriptors subsidize a smooth and influential way for texture description. With this, we conclude an innovative process, LTP with Genetic Algorithm to extricate feature vector and segregated features through Support Vector Machine, to embellish recognition rates. The experimentation is done on the ORL and the Extended Yale B Face Database. The outcomes precisely occurrence the supremacy of the intended work.