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.
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