• Title of article

    KAFD Arabic font database

  • Author/Authors

    Luqman، نويسنده , , Hamzah and Mahmoud، نويسنده , , Sabri A. and Awaida، نويسنده , , Sameh، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    10
  • From page
    2231
  • To page
    2240
  • Abstract
    Font recognition is useful for improving optical text recognition systems’ accuracy and time, and to restore the documents’ original formats. This paper addresses a need for Arabic font recognition research by introducing an Arabic font recognition database consisting of 40 fonts, 10 sizes (ranging from 8 to 24 points) and 4 styles (viz. normal, bold, italic, and bold–italic). The database is split into three sets (viz. training, validation, and testing). The database is freely available to researchers.11 ponding author may be contacted to get access to the database. ver, we introduce a baseline font recognition system for benchmarking purposes, and report identification rates on our KAFD database and the Arabic Printed Text Image (APTI) database with 20 and 10 fonts, respectively. The best recognition rates are achieved using log-Gabor filters.
  • Keywords
    Arabic font database , Arabic font recognition , Classification , feature extraction , Log-Gabor filters
  • Journal title
    PATTERN RECOGNITION
  • Serial Year
    2014
  • Journal title
    PATTERN RECOGNITION
  • Record number

    1736315