Face Recognition for Missing/Criminal Person Detection and Alerting

Crimes are at rise and becoming difficult for police to identify and rescue the Missing Persons. Our Proposed System will use Face Recognition Algorithms to detect Missing Persons. Face Recognition begins with extracting the coordinates of features such as width of mouth, width of eyes, pupil, and compare the result with the measurements stored in the database and return the closest record (facial metrics). Nowadays, there are a lot of face recognition techniques and algorithms found and developed around the world. Facial recognition becomes an interesting research topic. It is proven by numerous numbers of published papers related with facial recognition including facial feature extraction, facial algorithm improvements, and facial recognition implementations. We will be using advance algorithms like LBPH for our system and also compare to other older algorithms to prove higher accuracy of our system