Simultaneous Face Detection and Recognition using Artificial Neural Networks for Identity Verification: A Survey

The rapid development of technology and the commercialization of technological achievements, face detection became more popular. One of the challenges in face recognition systems is to recognize faces around different poses and illuminations. Its popularity is due to wide range of commercial and law enforcement applications and presence of latest techniques. It also has several applications in areas such as content-based image retrieval, video coding, video conferencing, crowd surveillance, and intelligent human–computer interfaces. But current systems are having laggings, which still needed to be worked upon like illumination and pose variations The face recognition phases include image preprocessing, feature extraction and clustering. Also the syst em used Artificial Neural Networks in recognizing faces detected from the input. The system also performs at its best if the person is directly facing the camera or at 0 degrees with respect to the camera.