Incorporate Structure and Content for Devanagari Table Extraction

Author(s)	Ms. Anuja Ramu Dumada, Prof. Sandeep G. Shah
Country	India
Abstract	Table extraction is a crucial component of document image analysis, enabling the transformation of unstructured document content into structured, machine-readable data. Although significant progress has been achieved for English and other Latin scripts, table extraction from Devanagari-script documents remains challenging due to script complexity, limited annotated datasets, and poor-quality scans. This research proposes a hybrid framework that combines structural analysis with content-based validation to enhance table extraction accuracy for Devanagari documents. The framework integrates preprocessing, Devanagari-specific OCR post-correction, semantic consistency checks, and confidence-based feature fusion. Experimental results on over 500 annotated Devanagari documents demonstrate improved performance compared to existing methods, achieving high structural precision, OCR accuracy, and overall TEDS-S score.
Keywords	Table Extraction, Devanagari Script, Document Image Analysis, OCR, Hybrid Framework, TEDS-S
Field	Computer
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-02-06

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International Journal on Science and Technology