Intelligent database of face recognition on account of Lingo3G clustering algorithm

With the continuous progress of mobile network and the acceleration of mobile education, the popularity of smart devices is accelerating, and the utilization rate is increasing day by day. More and more people develop application software to assist learning. In the context of the rapid development of the Internet, students can use more and more information learning resources, using these Internet resources can improve their studies more efficiently, but the Internet is two-sided, the Internet will destroy good academic learning habits and life style in the bad aspect. The development of a face recognition system for the university in particular to identify students using the Internet is good and bad to identify, distinguish, for improving students' studies has a significant effect. This paper studies the construction of intelligent database of face recognition based on Lingo3G clustering algorithm, mainly introduces the function and construction of intelligent database of face recognition and other related content. The test shows that the intelligent database construction of face recognition based on Lingo3G clustering algorithm greatly improves the accuracy of the database in face recognition.