martes, 26 de septiembre de 2017

Ficha del recurso:

Fuente:

Vínculo original en WORLD CONFERENCE ON INFORMATION TECHNOLOGY (WCIT-2010), 3 10.1016/j.procs.2010.12.173 2011
Zahedi, M; Eslami, S

Última actualización:

jueves, 12 de abril de 2012

Entrada en el observatorio:

jueves, 12 de abril de 2012

Idioma:

Inglés


Farsi/Arabic Optical Font Recognition Using SIFT Features

Most optical font recognition (OFR) methods have been designed to recognize the font in non-cursive documents. However, the recognition of cursive font scripts like Farsi/Arabic texts has its own challenges. Thus, most of the currently proposed algorithms fail to exhibit an appropriate recognition rate when facing cursive documents. In this paper, a new method for Farsi/Arabic automatic font recognition is proposed which is based on scale invariant feature transform (SIFT) method. As SIFT features are scale-invariant, the final system is robust against variation of size, scale and rotation. The system does not need a pre-processing stage but in the case of low quality images some noise removal processes can be used. Using a database of 1400 text images, an excellent recognition rate of nearly 100% is obtained. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.