Abstract:
The problem that created the idea for development ofthis project was that no system
in the industry provides a security system that enables a person to lock their files
without any physical contact (Text, pattern, fingerprint). Current systems in the
industry provide good security options, such as password or numerical based locks,
but these systems require input through a peripheral device (keyboard, fingerprint
scanner). In this project, we have developed a hand gesture recognition system that is
used for data protection. We have created our project using Python(Backend), and
Java(Frontend). The main goal of the project is to provide data encryption and
decryption using AES systems, by using only hand gestures. Our AES system is
based on Java and we have used NetBeans IDE along with Python on Anaconda. We
have chosen Anaconda due to its convenience and large stock of libraries. By
implementing AES with our hand gesture recognition system, we have made it
possible to encrypt/decrypt data with the simple use of hand movement. CNN is
used for image classification. CNN allows our system to learn the gestures we
provide and differentiate between them using what it has learnt. The final evaluation
of all these methods and implementations gives us a system that is able to recognize
and differentiate between gestures with up to 95.44% accuracy by means of CNN,
and then protect our data using these gestures.
