Classification Of Image Corner Point Detection System To Identify A Shape Using The Viola Jones Method

Authors

  • Frencis Matheos Sarimole Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika (STIKOMCKI) Jakarta
  • Sopan Adrianto Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika (STIKOMCKI) Jakarta
  • Dedi Gunawan Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika (STIKOMCKI) Jakarta
  • Fiktor Kurnia Tafonao Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika (STIKOMCKI) Jakarta

DOI:

https://doi.org/10.62951/ijcts.v1i3.314

Keywords:

AdaBoost, Computer Vision, Digital Image Processing, Shape Detection, Viola–Jones Method

Abstract

Along with the times, computer technology is developing very rapidly. The increasingly rapid development of computer technology means that everyone is required to utilize computer technology in their daily lives. Utilization of technology is one of the implementation roles of scientific disciplines. The reason behind the formation of this research is so that in the future it will become a fun learning concept in the introduction of objects and shapes in children and the motor development of children. children are usually more interested in seeing pictorial text, or pictures that contain lots of color. The Viola Jones method itself was chosen as the research completion algorithm. The Viola Jones method is usually used as a method in research that discusses the detection of objects, faces and others. The Viola Jones method was chosen because it has a high level of accuracy that can reach 100% probability.

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Published

2026-06-02

How to Cite

Frencis Matheos Sarimole, Sopan Adrianto, Dedi Gunawan, & Fiktor Kurnia Tafonao. (2026). Classification Of Image Corner Point Detection System To Identify A Shape Using The Viola Jones Method. International Journal of Computer Technology and Science, 1(3), 87–98. https://doi.org/10.62951/ijcts.v1i3.314

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