Evaluation of Individuals Identification using Facial recognition methods based on a Reference image

<p>Surveillance systems are becoming more common in urbanized areas, and high-performance<br>automated solutions are essential. This automation enables the proliferation of cameras in systems<br>while keeping up with the rise of people involved in the capture environment. Individual identification<br>can be performed by recognizing faces, necessitating advanced and robust approaches to avoid errors<br>in the Classification of people discovered. This paper tackles some of the most prevalent facial<br>recognition challenges and the process modifications required to achieve better recognition criteria.<br>The proposed strategies are evaluated using a face database from the literature and standard<br>performance measures for the classifiers utilized.</p>