Feature Descriptors for Face Recognition
Puja Sahay Prasad, Vinit Kumar Gunjan · 2020
Human face has lot of information about identity as well as emotional status of the individual. Face recognition for authentication purpose is a challenging as well as an interesting problem. These problems have great impacts on crucial applications in several areas like identification, banking, law enforcement, security system access, and personal identification etc. This paper focuses on to provide information about different finding face descriptors for an image so that it can be used for classification purpose for various machines learning algorithm. Different types of finding descriptors are divided into two main types. Heuristic and Local Binary Pattern. PCA and LDA works on principal component and Fisher Discriminant Criterion for facial images.