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
لينک به اين مدرک :
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