Fitur Ekstraksi Berbasis Discrete Wavelet Transform Untuk Pengenalan Karakter Pada Plat Nomor Kendaraan

Authors

  • Edi Sugiarto Universitas Dian Nuswantoro
  • Amiq Fahmi Universitas Dian Nuswantoro

DOI:

https://doi.org/10.33633/tc.v16i3.1427

Keywords:

Discrete Wavelet Transform, Fitur Ekstraksi, Support Vector Machine, plat nomor.

Abstract

Fitur ekstraksi merupakan langkah penting dalam pengenalan karakter. Hasil dari keseluruhan sistem pengenalan karakter sangat tergantung pada keberhasilanya suatu sistem mengekstrak fitur-fitur tiap objek yang akan dikenali. Wavelet Transform dapat digunakan untuk melakukan fitur ekstraksi karena dapat melakukan dekomposisi ruang vektor kedalam sekumpulan ruang vektor bersarang dengan resolusi yang berbeda sehingga memungkinkan dilakukan analisis terhadap fungsi baik pada domain waktu maupun domain frekuensi.Dalam penelitian ini wavelet transform digunakan untuk melakukan ekstraksi fitur citra huruf plat nomor kendaraan, untuk mendapatkan fitur dari citra tersebut dilakukan dekomposisi dengan wavelet hingga level 4. Pengujian dilakukan menggunakan 140 citra dimana tiap citra  yang digunakan menggunakan ukuran resolusi 128x128 piksel. Dari hasil pengujian maka dapat dibuktikan bahwa level dekomposisi terbaik untuk ekstraksi fitur dengan metode wavelet transform adalah level 3 dengan panjang vektor fitur 24 dan dengan tingkat akurasi hingga 97.1%.

References

Weijuan Wen, Xiangli Huang, and Pengju Zhang (2009), “The Vehicle License Plat Location Method Base-on Wavelet Transformâ€, 2009 International Joint Conference on Computational Sciences and Optimization, Communication University of China.

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Published

2017-05-10

Issue

Vol. 16 No. 3 (2017): Agustus 2017

Section

Articles

License

Copyright (c) 2017 Edi Sugiarto, Amiq Fahmi

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