A Review of Face Analysis Techniques for Conventional and Forensic Applications
H. T. Chethana, Trisiladevi C. Nagavi · 2022
Security systems have been one of the most challenging systems to secure assets and protect privacy over the past few years. Because of the increase in electronic transactions, the demand for rapid and precise identification and authentication is high. Face can be used as an identification and authentication tool. Face recognition possess many challenges like pose variation, blurriness, low resolution, illumination, facial expression, viewing angle and lighting conditions. Most of the work has been carried out to address the challenges in face recognition. Forensic face recognition is more challenging than normal face recognition because forensic images are of poor quality due to facial images captured under unfavorable circumstances. The forensic world is also becoming difficult and challenging because numerous crimes occur frequently and criminal investigators use face as a valuable and forensic tool. Forensic experts use domain-specific methods and perform a manual comparison to identify the suspects.The manual comparison takes more time and effort. As a result, it is possible to develop novel approaches to automate the process of domain-specific methods. The main objective of this chapter is to describe how face recognition is an important and most significant topic in forensics and the challenges which exist in forensic face recognition. From this chapter, researchers will be motivated to pursue research in the area of forensic face recognition since research in this field is at an infant stage.