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March 26, 2026npj Heritage Science1 citationsOpen Access

Reassessing Anne Boleyn and other Boleyn women in Holbein drawings using facial recognition

KDKaren L. DaviesHUHassan UgailDSDavid G. Stork

Key Points

  • The aim is to evaluate the correct attribution of Holbein's drawing of Anne Boleyn using advanced facial recognition techniques.
  • Applied computational facial recognition to Holbein's drawings
  • Utilized deep learning model based on AdaFace embeddings
  • Employed Working Likeness Methodology to enhance accuracy of comparisons
  • Validated findings through Tudor kinship networks
  • Identification of RCIN 912189 as likely inaccurate based on eyewitness accounts
  • RCIN 912190 aligns closely with descriptions of Anne Boleyn and is similar to an authenticated portrait of Elizabeth I
  • Computational analysis effectively distinguishes between documented relatives and unrelated courtiers, suggesting reliability in attributions

Abstract

For over two centuries, the Holbein drawing RCIN 912189 in the Royal Collection Trust has been identified as Anne Boleyn on the basis of an unverified eighteenth century inscription. This study reassesses that attribution by combining computational facial recognition with documentary and art-historical analysis. We propose a Working Likeness Methodology that restricts biometric comparison to Holbein’s life-drawn sketches, reducing the stylistic mediation. Using a deep learning model based on AdaFace embeddings, we compare RCIN 912189 with RCIN 912190 (Unidentified Woman). RCIN 912190 shows stable similarity to the authenticated portrait of Elizabeth I by William Scrots and aligns closely with contemporary descriptions of Anne Boleyn, whereas RCIN 912189 conflicts with eyewitness accounts. Validation across Tudor kinship networks shows the method distinguishes documented relatives from unrelated courtiers, suggesting computational facial analysis can provide probabilistic support for attribution where traditional evidence remains limited.

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Cite This Study

Davies et al. (2026) studied this question.

synapsesocial.com/papers/69c4cdcdfdc3bde44891a907https://doi.org/10.1038/s40494-026-02456-0
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