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