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New OCR method improves Sanskrit manuscript digitization

By PulseAugur Editorial · [2 sources] ·

Researchers have developed an iterative fine-tuning approach for optical character recognition (OCR) to improve the digitization of complex historical Sanskrit manuscripts. This method adapts to manuscript-specific layouts and appearances, reducing the need for extensive manual annotation. The study also benchmarks the performance of Multi-Modal Large Language Models on a newly created dataset for this task. AI

IMPACT This research could enable more accurate and efficient digitization of historical texts, making them more accessible for scholarly study.

RANK_REASON The cluster describes an academic paper detailing a new method for OCR applied to historical manuscripts.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New OCR method improves Sanskrit manuscript digitization

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The cluster describes an academic paper detailing a new method for OCR applied to historical manuscripts.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Kartik Chincholikar, Kaushik Gopalan, Mihir Hasabnis ·

    Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts

    arXiv:2608.18696v1 Announce Type: cross Abstract: Digitizing the text from handwritten historical manuscripts is required to make them easily accessible, preservable, and to enable historical scholars to study them in new ways. Historical manuscripts, however, often exhibit compl…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Impact of Iterative Fine-Tuning on Transcription Accuracy in Complex Historical Sanskrit Manuscripts

    Digitizing the text from handwritten historical manuscripts is required to make them easily accessible, preservable, and to enable historical scholars to study them in new ways. Historical manuscripts, however, often exhibit complex heterogeneous layouts and non-standard appearan…

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