全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A New Segmentation Method for Persian/Arabic OCR Based on Baseline Processing

DOI: 10.1234/mjee.v3i3.155

Keywords: Persian OCR , Segmentation , Recognition , Smoothing , Arabic OCR , Baseline Method

Full-Text   Cite this paper   Add to My Lib

Abstract:

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.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133