The Use of Local Sensitive Hashing for E-learner Face Identification

H. Alaoui, Hachem; Hachem, Elkaber; Ziti, Cherif; Karim, Mohammed

doi:10.22042/isecure.2021.271051.612

Document Type : Research Article

Authors

¹ Mathematics & Computer Department, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco.

² LISTA Laboratory Faculty of sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah Unversity, Fs, Morocco.

https://doi.org/10.22042/isecure.2021.271051.612

Abstract

Because face can reveal so much hidden information, we need to interpret these data and benefit from them. Hence, our paper shows a new and productive facial image representation based on local sensitive hashing (LSH). This strategy makes it conceivable to recognize the students who pursue their preparation in our learning training; during every session, an image of the learner will be taken by the webcam to be compared to that already stored in the database. As soon as the learner is recognized, he/she must be arranged in the accordion to an appropriate profile that takes into consideration his/her weaknesses and strength, which is conducted with the help of the J48 as a predictive study. Furthermore, we utilize a light processing module on the client device with a compact code in order that we can have a lot of in formation transmission capable to send the component over the network and to have the option to record many photos in an enormous database in the cloud.

Keywords

20.1001.1.20082045.2020.12.3.1.1

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The ISC International Journal of Information Security

The Use of Local Sensitive Hashing for E-learner Face Identification

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Volume 12, Issue 3
Special Issue
November 2020
Pages 1-5

The Use of Local Sensitive Hashing for E-learner Face Identification

Optional file type 1

Optional file type 1

Volume 12, Issue 3Special IssueNovember 2020Pages 1-5

Volume 12, Issue 3
Special Issue
November 2020
Pages 1-5