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May 30, 2026Open Access

Optimalisasi Teknologi OCR dalam Digitalisasi Manuskrip Hadis: Studi Akurasi dan Tantangan Linguistik Arab Klasik

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Authors

ZUZeindri Abu UmarMYMahmud Yunus

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Overview

Randomized trial analyzes OCR accuracy in digitizing hadith manuscripts, suggesting integrative optimization strategies.

Key Points

  • The study aims to evaluate the accuracy of OCR systems for recognizing classical Arabic text in hadith manuscripts and address linguistic challenges.
  • Employed a mixed methods approach combining quantitative analysis of OCR performance across different platforms.
  • Conducted qualitative analysis to identify linguistic error patterns impacting recognition accuracy.
  • Developed an optimization model integrating machine learning and Arabic morphological analysis.
  • OCR accuracy for hadith manuscripts varied from 68% to 91% based on factors like image quality and calligraphy type.
  • Common errors involved graphemic similarities between letters, particularly 'س' and 'ش', affecting recognition quality.
  • The optimization model enhanced accuracy to 94% and expedited post-correction processes for digital texts.

Cite This Study

Umar et al. (2025) studied this question.

synapsesocial.com/papers/6a1a812b0307b78509432fdbhttps://doi.org/10.64691/6vn20070
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