Title :
A comparative study of different approaches of primitive printed Arabic Optical Character Recognition
Author :
Mohamed Dahi;Noura A. Semary;Mohiy M. Hadhoud
Author_Institution :
Dept. Information Technology, Faculty of Computers and Information, Menofia University, Shebin El-Kom, Egypt
Abstract :
This paper is a part of comprehensive research and development towards eventually enhanced AOCR (Arabic Optical Character Recognition) accuracy. This paper presents a comparative study of four most reported as high primitive printed Arabic Character Recognition works (Hamdi et al. [1], Marwa et al. [2], Marwa et al. [3] and Andrey et al. [4]). The motivation was the lack of independent comparative study between recent algorithms for researchers to depend on. A new noise-free generated dataset of 7 font types is used for evaluation. The results shown that Marwa et al. [3] algorithm overcomes the others across all dataset tests.
Keywords :
"FAA","TV","Classification algorithms"
Conference_Titel :
Computer Engineering Conference (ICENCO), 2015 11th International
DOI :
10.1109/ICENCO.2015.7416333