Comparison between local binary pattern histograms and principal component analysis algorithm in face recognition system

In recent years, biometric recognition has become one of the aspects for security purposes throughout IT industries. For these systems, the developer has to implement one algorithm which is going to perform recognition part successfully. This paper shows the comparison between two main algorithms which are implemented on the systems for the best performance named “Principal Component Analysis” and “Local Binary Pattern Histogram”. The comparison is based on different situations and environment around like the amount of light (artificial and natural), recognition at night time and direct sunlight.