Missing Person Identification using Machine Learning Algorithms

Abstract: From last few years there are many missing person cases reported at police station which are not yet solved. In our project we are solving this issue using various machine learning algorithms like SVM, KNN etc. Basically, using facial expressions, we can train model and depending on matched feature we will get known persons identity. This will generate fast and accurate results. For this we are taking missing person dataset from Kaggle. In output we will get persons identity depending on various classified features like gender, age, geographical location. Results will be forwarded to police for further investigation. In this, there are countless number of people missing every day from which most of them are children. This project proposes a system that would help the police and the public by accelerating the process of searching using face recognition. When a child goes missing, the police can upload the picture of the missing person by taking the latest picture of child or person from the parents when the case is registered and gets stored in the database. In this model, an automated facial recognition system for missing child, person and stored in database. Then classification done like teen,with without marks, with without beard and when person is founded after long years system perform matching with teen,with without marks, with without beard and give results