Face recognition and gender recognition has recently attracted the attention of many researchers. Facial recognition systems are a technology that can identify a person from an image or a video frame. There are various methods in these recognition systems. In general, it can be said that these systems work by comparing the selected features of the face with the other images in a database. It can also be defined as a biometric application based on artificial intelligence, which can recognize a person by analyzing patterns based on the facial texture and shape of the face. Gender recognition through face is one of the methods in machine vision field. This topic focuses on understanding human visual processing and identifying key features used to differentiate between male and female individuals. Gender recognition is actually a matter of binary classification; in which it is estimated whether the image belongs to a woman or a man. Although this decision making is very simple for humans, it is not so easy for computers and has been associated with challenges. Because the level of accuracy in a computer is influenced by various factors such as lighting, posture, occlusion, noise or background information.
