HISTOGRAM OF ORIENTED GRADIENT UNTUK DETEKSI EKSPRESI WAJAH MANUSIA

Authors

  • Marlinda Vasty Overbeek

DOI:

https://doi.org/10.52972/hoaq.vol10no2.p81-86

Keywords:

expression detection, Histogram of Oriented Gradient, Convolutional Neural Network

Abstract

This research focuses on the detection of human facial expressions using the Histogram of Oriented Gradient algorithm. Whereas for the classification algorithm, Convolutional Neural Network is used. Image data used in the form of seven different expressions of humans with the extraction of 48x48 pixels. The use of Histogram of Oriented Gradient as a feature extracting algorithm, because Histogram of Oriented Gradient is good to be used in detecting moving objects. Whereas Convolutional Neural Network is used because it is an improvement of the Multi Layer Perceptron algorithm. Of the three epoches done, it produced the best accuracy of 77% re-introduction of human facial expressions. These results are quite convincing because it only uses three epochs.

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Published

31-12-2018

How to Cite

Overbeek, M. V. (2018). HISTOGRAM OF ORIENTED GRADIENT UNTUK DETEKSI EKSPRESI WAJAH MANUSIA. HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi, 10(2), 81–86. https://doi.org/10.52972/hoaq.vol10no2.p81-86

Issue

Vol. 10 No. 2 (2019): Jurnal HOAQ - Teknologi Informasi

Section

Articles

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Copyright (c) 2019 High Education of Organization Archive Quality: Jurnal Teknologi Informasi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Jurnal HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi diterbitkan berdasarkan lisensi Creative Commons Attribution 4.0 International License (CC BY 4.0). Lisensi ini memungkinkan setiap orang untuk Berbagi: menyalin dan mendistribusikan kembali materi ini dalam format atau bentuk apapun; Adaptasi: merombak, mengubah, dan membuat turunan dari materi ini untuk keperluan apa pun, termasuk keperluan komersial, asalkan mereka memberikan pengakuan kepada Penulis Asli atas hasil karya aslinya.