سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۶

نویسنده(ها):

Akram Hajiannezhad – Electrical and Computer Engineering Department, Semnan University, Semnan, Iran
Saeed Mozaffari –

چکیده:

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