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grayscale

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Pada project ini, akan dilakukan identifikasi nilai mata uang rupiah dengan menggabungkan metode ekstrasi ciri Local Binary Pattern dan metode klasifikasi Naïve Bayes. Serta untuk pengukuran akurasi identifikasi dilakukan dengan metode evaluasi K-Fold Cross Validation. Dataset yang digunakan berupa citra dengan rincian terdapat 120 citra yang te…

  • Updated Aug 17, 2022
  • Python

Developed a Deep Neural Network model which classifies the traffic signs.By using Digital Image Processing techniques likes Gray Scale Conversion,Histogram Equalization,Image normalization ,we preprocessed the images.By using Convoultional Neural Network model, from keras framework developed a working model. This model gives 96% accurate results.

  • Updated Apr 21, 2019
  • Python

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