Ethnicity Classification Based on Facial Features Using Viola-Jones Algorithm
Ethnicity information is an aspect of human identity. Ethnicity holds the same importance in human identity as gender or age. In this paper, we will propose a new approach to classify Indonesian Races, especially Western Indonesian (Java and Sumatra) and Eastern Indonesian (Papua and Nusa Tenggara). We implement two major steps for this research, the first step is face detection using the Viola-Jones Algorithm and the second step is the classification process using Support Vector Machine and K-Nearest Neighbour. Our proposed approaches give good results, with the bestresult is 81% using YCbCr color space.
Detail Information
| Bagian |
Informasi |
| Pernyataan Tanggungjawab |
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| Pengarang |
Felix Indra Kurniadi - Personal Name
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| Edisi |
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| No. Panggil |
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| Subyek |
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| Klasifikasi |
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| Judul Seri |
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| GMD |
Jurnal |
| Bahasa |
English |
| Penerbit |
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| Tahun Terbit |
2020 |
| Tempat Terbit |
Tangerang |
| Deskripsi Fisik |
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| Info Detil Spesifik |
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Citation
. (2020).Ethnicity Classification Based on Facial Features Using Viola-Jones Algorithm.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd
