LBPH-Based Real-Time Face Detection for Fraudulence Recognition in Computers

Abstract

As laptop users increase day by day, the threats also increase for computer or laptop users. When others try to access their laptop or computer using a password or without a password in their absence would be the major issue for loss or leakage of important professional files or personal things. The Objective of the project is to detect the unknown person who is trying to unlock the computer or laptop with or without a password in your absence and it will send an alert message to the person who owns the laptop or computer. This can be resolved by giving alertness about the fraudulence to the user. The dataset of the user is created using Haar Cascade Algorithm and the model is trained using Local Binary Pattern Histogram Algorithm and testing is done using Haar cascade Algorithm.