Facial Recognition System for Identification of Missing Person
Pratyush Raj, Shubham Kumar, Dhamodaran S, J. Refonaa, Jany Shabu SL, Viji Amutha Mary · Kalpa publications in computing · 2024
Due to its potential in many industries, including law enforcement, facial recognition technology has attracted a lot of interest recently. The proposed face recognition method compares the facial traits of unidentified people with a database of known missing people using high-resolution images and advanced algorithms. The first step in the facial recognition procedure is to use specialized cameras to take clear photographs of the unknown person's face. Advanced computer vision algorithms are then used to process these photographs in order to extract distinctive facial characteristics such as the separation between the eyes, shape of the nose, and contours of the face. Using pattern recognition tools, these attributes are then compared with a database of people, who have gone missing in the past. The proposed system uses machine learning algorithms to enhance its accuracy and dependability over time. It can adapt to changes in stance, lighting, and age progression, enabling it to recognize missing people even after a sizable amount of time has passed. The efficiency of the proposed identification process can be improved further by integrating this system with the databases already used by law enforcement, which will ultimately improve the possibilities of finding missing people and reuniting them with their family and loved ones.