Random Forests for Face Recognition

This paper aims to unravel the face recognition issues with the execution of the Random Forest Algorithm. This paper presents a modified Random Forest algorithm to advance the proficiency and viability of understanding the acknowledgment issue. In this paper, a few parameters of the algorithm can be changed and compared to each other during the solving of the face recognition problem, which leads to a better result. The parameters that can be changed are epsilon and number tree, which directly affect the algorithm. Consequently, the best parameter combination was found for a face recognition issue with enhancement.