• شماره ركورد كنفرانس
    1730
  • عنوان مقاله

    Font Recognition Using Variogram Fractal Dimension

  • عنوان به زبان ديگر
    Font Recognition Using Variogram Fractal Dimension
  • پديدآورندگان

    Hajiannezhad Akram نويسنده , Mozaffari Saeed نويسنده

  • تعداد صفحه
    6
  • كليدواژه
    FD , Variogram analysis , Optical Font Recognition , Fractal dimension , OCR , OFR , Optical character recognition
  • سال انتشار
    2012
  • عنوان كنفرانس
    بيستمين كنفرانس مهندسي برق ايران
  • زبان مدرك
    فارسی
  • چكيده لاتين
    This paper is dealing with font recognition problem in Farsi, Arabic, and English documents. It considers font recognition as texture identification task and the extractedfeatures are independent of document content. The proposed method is based on one of the fractal dimension techniques which is called Variogram Analysis. The average recognitionrates using RBF, and KNN classifiers are respectively %95.5, %96 for Farsi fonts, and % 96.9, %98.84 for Arabic fonts, and% 98.21, %99.6 for English fonts. The most important advantages of our algorithm are low feature dimensions, lowcomputational complexity, and high speed compared with the previous efforts
  • شماره مدرك كنفرانس
    4460809
  • سال انتشار
    2012
  • از صفحه
    1
  • تا صفحه
    6
  • سال انتشار
    2012