A SECURE ONLINE VOTING SYSTEM USING FACE RECOGNITION TECHNOLOGY

Abstract


 Each individual has the opportunity to choose the leaders by practicing their democratic right to vote. Therefore, the voting process is fundamental in determining everyone's destiny. The demand for online voting is growing, and most voters prefer online voting because it saves their time and energy. Therefore, an online voting method is highly valued in today's digital age. However, a lack of security and mechanism to verify and validate voters in the voting system may lead to illegitimate voting and unethical behavior. Thus, the voting issue remains a significant concern regarding safety and security. This project proposes a secure online voting system using face recognition, allowing validated users to cast a vote. The proposed online voting system uses a deep learning technique, a convolutional neural network, to verify and validate that the authorized users are voting. In conclusion, the proposed secure online voting system with biometric authentication able to verify and validate the authorized user with the accuracy rate of 90% for voting purposes and the system will be advantageous for users since it is convenient, reliable, energy-efficient, and time-saving.