“…In addition, no occlusion image is considered in [39]. On the other hand, the SVM with suitable kernel function can deal with the non‐linear separation classification problem such that a better performance can be achieved when the face recognition is in the presence of pose, illumination changes, or occlusion [23, 34, 35].…”