REVIEW:FACERECOGNITION SYSTEM USING VIOLA JONES ALGORITHM & CASCADE CLASSIFICATION

Authors

  • Adhya Pratama S.P
  • Oki Dudi M
  • Denta Dannika
  • Gani Amanda A
  • Ari Purno Wahyu

Abstract

Recognition of a face identification system has become a necessity in the current modren era,
where facial features have been installed in various applications which become an additional
security feature in a particular software or application, on a mobile device these application
features are found as good applications for multimedia or password security on a smartphone, the
face detetion algorithm itself has several weaknesses, this feature can’t detect the face area in a
tilted condition and isn’t perpendicular camera to overcome the problem. a two-dimensional
image of the process can increase the accuracy of face detection systems up to 90% and this
algorithm can run on all operating systems.

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Published

2020-12-20

How to Cite

Adhya Pratama S.P, Oki Dudi M, Denta Dannika, Gani Amanda A, & Ari Purno Wahyu. (2020). REVIEW:FACERECOGNITION SYSTEM USING VIOLA JONES ALGORITHM & CASCADE CLASSIFICATION. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(4), 2732-2740. Retrieved from https://www.archives.palarch.nl/index.php/jae/article/view/3825

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