A Face Recognition Security Model Using Transfer Learning Technique

Nowadays security plays a vital role in day-to-day life. Without it, so many problems will arise and it also pave way for the occurrences of illegal entries and information theft, security attacks. Due to this, confidential information gets lost and this led to many issues. To avoid this, we have created a system of facial recognition which completely detects and recognizes the face by capturing images of user, crop them and saves them in a database. If any unauthorized user enters the security system, then it will detect them, and prevent does not allow them from entering into the security system. In this project, we have applied a transfer learning model based on Alexnet Deep learning application to develop a real time facial recognition system which has good robustness to cope with pose and lighting, reduce dimensionality, complexity and better recognition accuracy. This system accurately detects and compares the image that are stored in the database. And accurately provides the results at faster rates. Also, this system would be able to create and read a database of different users.