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New dataset BullingerDB targets historical text recognition

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced BullingerDB, a new large-scale dataset designed for analyzing historical handwritten documents. The dataset, derived from the correspondence of Heinrich Bullinger, contains over 20,000 pages and nearly half a million text lines from 796 different writers across six decades. It includes multilingual content and metadata for writer identification and temporal analysis, aiming to set a new benchmark for historical text recognition and writer retrieval. AI

IMPACT Establishes a new benchmark for historical document analysis, potentially advancing OCR and writer identification technologies.

RANK_REASON The cluster describes a new academic dataset and its evaluation on existing models, fitting the research bucket.

Read on arXiv cs.CV →

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

New dataset BullingerDB targets historical text recognition

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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Marco Peer, Anna-Scius Bertrand, Patricia Scheurer, Andreas Fischer ·

    BullingerDB: A Dataset for Handwritten Text Recognition and Writer Retrieval

    arXiv:2605.30235v1 Announce Type: new Abstract: We present BullingerDB, a large-scale benchmark dataset for historical document analysis based on the correspondence of Heinrich Bullinger (1504-1575). The corpus comprises 20,898 pages and 499,222 text lines written by 796 writers …

  2. arXiv cs.CV TIER_1 English(EN) · Andreas Fischer ·

    BullingerDB: A Dataset for Handwritten Text Recognition and Writer Retrieval

    We present BullingerDB, a large-scale benchmark dataset for historical document analysis based on the correspondence of Heinrich Bullinger (1504-1575). The corpus comprises 20,898 pages and 499,222 text lines written by 796 writers over six decades, featuring stylistic variation,…

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