Overview of the proposed system. The figure depicts the overview of the proposed system for chimpanzee identification. After all possible faces in an image are detected, each face is aligned using a projective transform to make the faces comparable across the entire dataset. A histogram equalization is also applied in this step to improve the system’s robustness against changing lighting conditions. In the final stage of our framework, the detected and aligned faces are identified using a combination of global and local features.