Abstract
This paper displays a new and productive facial image representation based on local sensitive hashing (LSH). This technique makes it possible to recognize the learners who follow their training in our learning platform; during each session a picture of the student will be taken by the webcam to be compared to that stored in the database. Once recognized, the student must be oriented towards an appropriate profile that takes into account his strengths and weaknesses. The latter are concluded through a predictive study using the J48 as a tool. We also use a light processing module on the client device with a compact code so that we don’t need a lot of bandwidth, a lot of network transmission capacity to send the feature over the network, and to be able to index many pictures in a huge database in the cloud.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.