Real-Time Face Verification Convolutional Neural Network Technique based on video

Face recognition has been an important issue since the invention of cameras and it has been progressing rapidly during these years. In proposed machine, a convolutional neural network which is a deep neural network class has been used to improve its functionality. After receiving the video, the first frame of each second is matched to the original photo, and then every five frames among the rest of the current second are processed. After the first second process is completed, the next seconds are processed respectively and this is continued until the end of the video. Using this method as well as fuzzy system, the output will be displayed at any time. To test this machine, two standard and local datasets were used and as a result the accuracy of ۹۹.۰۷ ± ۰.۱۱ was obtained. The result shows that this machine is reliable with a high level of accuracy and it is predicted that in the future, by adding a Liveness system, more reliable results will be achieved .