The face recognition/detection process is considered one of the most popular applications in image processing and biometric pattern recognition systems. Although the face recognition approach improves the authentication procedure, many challenges still appear due to diversities in human facial expression, colossal image size, background complexity, variation in illumination, poses, blurry, etc. Therefore, the face detection procedure is classified as one of the most challenging tasks in computer vision. This research paper reviews the implementation of image processing based on the Artificial Neural Network approaches. ANNs represent it as a potential capability to enhance the method of extracting face patterns through an adaption of various ANN topologies. Furthermore, it means fundamental phases associated with the construction of any facial recognition system. Finally, it provides a comparison of different literature studies related to face recognition based on varying ANN approaches and critically analyzed them.

The face recognition/detection process is considered one of the most popular applications in image processing and biometric pattern recognition systems. Although the face recognition approach improves the authentication procedure, many challenges still appear due to diversities in human facial expre...