Listar por autor "Al-Nabki, Mhd Wesam"

Mostrando ítems 1-4 de 4

    • Color Sift Descriptors to Categorize Illegal Activities in Images of Onion Domains 

      Matilla, David; González-Castro, Víctor; Fernández-Robles, Laura; Fidalgo, Eduardo; Al-Nabki, Mhd Wesam (Área de Ingeniería de Sistemas y Automática, Universidad de Extremadura, 2018)
      [Abstract] Dark Web, i.e. the portion of the Web whose content is not indexed either accessible by standard web browsers, comprises several darknets. The Onion Router (Tor) is the most famous one, thanks to the anonymity ...

    • Detecting Textual Information in Images from Onion Domains Using Text Spotting 

      Blanco, Pablo; Fidalgo, Eduardo; Alegre, Enrique; Al-Nabki, Mhd Wesam (Área de Ingeniería de Sistemas y Automática, Universidad de Extremadura, 2018)
      [Abstract] Due to the efforts of different authorities in the fight against illegal activities in the Tor networks, the traders have developed new ways of circumventing the monitoring tools used to obtain evidence of said ...

    • Enhancing text recognition on Tor Darknet images 

      Blanco Medina, Pablo; Fidalgo, Eduardo; Alegre, Enrique; Al-Nabki, Mhd Wesam; Chaves, Deisy (Universidade da Coruña, Servizo de Publicacións, 2019)
      [Abstract] Text Spotting can be used as an approach to retrieve information found in images that cannot be obtained otherwise, by performing text detection rst and then recognizing the located text. Examples of images ...

    • Oculus-Crawl, a software tool for building datasets for computer vision tasks 

      Paz Centeno, Iván de; Fidalgo, Eduardo; Alegre, Enrique; Al-Nabki, Mhd Wesam (Servicio de Publicaciones de la Universidad de Oviedo, 2017)
      [Abstract] Building datasets for computer vision tasks require a source of a large number of images, like the ones provided by the Internet search engines, joined with automated scraping tools, to construct them in a ...