Track A Missing Child Using Local Binary Pattern Histogram Based Face Recognition Method

Abstract

In our society, a countless number of children are missing every-day. Even though missing cases are getting filed against them in nearby police stations but it is complicated to trace them through investigation as it requires lot of efforts and it is time consuming also it becomes quite challenging for police to find them and it’s really getting impossible to find them in most cases. So to make it convenient we planned to design a website for “Tracking the missing child using Face Recognition ”, which makes the task quite simpler. The main intention of this project is to reunite the missing children with their parents, so we are going to design a web page where one can be able to upload the missing child details and store it in database. If the child who is missing is identified on road by any random person, then he/she will upload the photo of that child on web page then our system can be able to detect that lost child using face recognition algorithms. Whenever the system confirms the matching then it will set up custom alerts along with location and send them directly to family members and concerned investigation officers . And if the match is not found , then the person will be provided with the option of registering child photo as a new entry to our database with the location they found. So, in this way we can find the lost children in more easy and convenient way. In this model, an automated facial recognition system for Missing Child database was proposed using known Haar feature-based cascade classifier. This system will be able to detect face and recognize face automatically in real time. In our model we are going to use Face Recognition module of python.