10.1234/mjee.v3i3.155

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

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  • Mahboubeh Shamsi1,
  • Reza Rasouli2,
  • Soudeh Shadravan3,
  1. Islamic Azad University, Bardsir Branch
  2. Azad Islamic University Bardsir
  3. Unknown

Published in Issue 2024-02-28

How to Cite

Shamsi, M., Rasouli, R., & Shadravan, S. (2024). A New Segmentation Method for Persian/Arabic OCR Based on Baseline Processing. Majlesi Journal of Electrical Engineering, 3(3). https://doi.org/10.1234/mjee.v3i3.155
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Abstract

One of the most important stages in Character Recognition Systems is âSegmentationâ, 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.

Keywords

  • Azad Islamic University Bardsir,
  • fa,
  • Image processing,
  • Persian OCR,
  • Segmentation. recognition,
  • smoothing
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