Identity Verification and Detection System Through Facial Recognition Technology
Nazar Karpiuk, Halyna Klym · 2023
This investigation focuses on the examination and experimentation of the Haar cascade classifier technique for facial recognition. The study additionally rationalizes the selection of the algorithm and furnishes an account of how the system's implementation, utilized for the analysis, was carried out. Throughout the study, the developed system underwent testing using a set of facial photographs that encompassed a variety of attributes, including differing distances from the camera, diverse lighting conditions, and varied facial orientations within the camera's field of view. A thorough evaluation of the test outcomes was performed, leading to conclusions that shed light on the essential considerations in the design and application of facial recognition systems, aiming for optimal accuracy.