A Review on Identity Management Using Face Detection Techniques

Abstract

Face recognition, which has applications in iris and fingerprint recognition in addition to face recognition itself, is a crucial component of computer vision and object recognition. In everyday life, face detection is critical in security and forensic investigations. Face identification, whether in fixed photos or video sequences, poses considerable hurdles due to elements such as facial expressions, position fluctuations, occlusion, aging, and resolution. The authors propose the notion of face synthesis to overcome these issues and improve accuracy. They want to enhance recognition rates when working with different face databases by using face synthesis techniques. The study provides an in-depth examination of various facial recognition algorithms, highlighting the problems involved and emphasizing the need to improve efficiency and recognition rates. for large face databases. To show the efficacy of the suggested strategies, the authors compare rates of accuracy and recognition