Classification of Student Faces in Assignment Presentation Video using Bezier Curve and K-Means Clustering Algorithm
Sfenrianto Sfenrianto1, Kaman Nainggolan2, Abdur Rohman3
1Sfenrianto Sfenrianto, Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta.
2Kaman Nainggolan, STMIK Nusa Mandiri, Indonesia.
3Abdur Rohman, STMIK Nusa Mandiri, Indonesia.
Manuscript received on November 16, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 2515-2518 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7099129219/2019©BEIESP | DOI: 10.35940/ijitee.B7099.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Grouping facial images can be used for various purposes with various algorithms. The purpose of this study was to determine the classification of students’ facial images in the assignment presentation video using the Bezier Curve algorithm and K-Means Clustering. The results showed that the initial classification was still in a varied and uneven position. Then the final classification has a significantly different distribution for each cluster.
Keywords: Face Image, Video Presentation, Bezier Curve, Face Extraction.
Scope of the Article: Classification