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Title

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

Year: 1400
COI: EESCONF06_030
Language: EnglishView: 94
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Authors

Shahed Mohammadi - Assoc. Prof. Computer Science & Systems Eng. Dep. Ayandegan University, Mazandaran, Iran
Nadia Faramarzi - Student of Software Engineering IAUCTB University, Tehran, Iran
Parsa Jamshidi - Student of Software Engineering IAUCTB University, Tehran, Iran
Sahand Majdabadi Farahani - Student of Software Engineering IAUCTB University, Tehran, Iran

Abstract:

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 .

Keywords:

face recognition , real time video processing , face matching , convolutional neural network face matching , FR

Paper COI Code

This Paper COI Code is EESCONF06_030. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1382564/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Mohammadi, Shahed and Faramarzi, Nadia and Jamshidi, Parsa and Majdabadi Farahani, Sahand,1400,Real-Time Face Verification Convolutional Neural Network Technique based on video,Sixth International Conference on Electrical, Electronics and Smart Grid Engineering,https://civilica.com/doc/1382564

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