An efficient source printer identification model using convolution neural network (spi-cnn)

HIGHLIGHTS

• who: Naglaa F. El Abady and collaborators from the School of Information Technology and Computer Science (ITCS), Nile University, Egypt, have published the Article: An Efficient Source Printer Identification Model using Convolution Neural Network (SPI-CNN), in the Journal: (JOURNAL)
• what: In this research, three distinct techniques are proposed for SPI and classifying the questioned document into one of the printer types. A. Datasets Description To test the models, three different datasets are employed.
• how: Many important statistical features such as the Spatial filters LBP the Wiener filter GLCM the Gabor filter DWT . . .
  

   

  

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