%0 Journal Article
%T A New Segmentation Method for Persian/Arabic OCR Based on Baseline Processing
%A Mahboubeh Shamsi
%A Reza Rasouli
%A Soudeh Shadravan
%J Majlesi Journal of Electrical Engineering
%D 2009
%I Islamic Azad University- Majlesi
%R 10.1234/mjee.v3i3.155
%X One of the most important stages in Character Recognition Systems is ”°Segmentation”±, because any mistake will affect to all other tasks, especially to character recognition. This operation is more complex in Persian/Arabic writing than other Latin writing like English, and there has been an ongoing research on it. Other algorithms, that has been used as base as proposed algorithm, show 85% accuracy. In this paper, a new improved method has been presented by analyzing the visual features of the Persian/Arabic language. The proposed algorithm is able to segment existing fonts up to 98.5% accuracy or even 100% on some cases. The remaining error could be refined by applying a good character recognition technique and a precise vocabulary.
%K Persian OCR
%K Segmentation
%K Recognition
%K Smoothing
%K Arabic OCR
%K Baseline Method
%U http://ee.majlesi.info/index/index.php/ee/article/view/155