In Codice Ratio

In Codice Ratio is a research project designed to study and use novel techniques such as Optical Character Recognition and Artificial Intelligence to digitize works in the Vatican Apostolic Archive,[1][2] most of which is handwritten.[3][4]

History

In 2017, a project based in Roma Tre University called In Codice Ratio began using artificial intelligence and optical character recognition to attempt to transcribe more documents from the archives.[3][5] While character-recognition software is adept at reading typed text, the cramped and many-serifed style of medieval handwriting makes distinguishing individual characters difficult for the software.[6] Many individual letters of the alphabet are often confused by human readers of medieval handwriting, let alone a computer program. The team behind In Codice Ratio tried to solve this problem by developing a machine-learning software that could parse this handwriting. Their program eventually achieved 96% accuracy in parsing this type of text.[7]

References
  1. Firmani, Donatella; Maiorino, Marco; Merialdo, Paolo; Nieddu, Elena (2018-03-01). "Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1". Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 263–272. arXiv:1803.03200. doi:10.1145/3219819.3219879. ISBN 9781450355520. S2CID 3772349.
  2. "Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio". SIGKDD - KDD 2018. Retrieved 2021-03-25.
  3. Kean, Sam (2018-04-30). "Artificial Intelligence Is Cracking Open the Vatican's Secret Archives". The Atlantic. Retrieved 2021-03-25.
  4. Firmani, Donatella; Merialdo, Paolo; Nieddu, Elena; Scardapane, Simone (December 2017). "In Codice Ratio: OCR of Handwritten Latin Documents using Deep Convolutional Networks".
  5. Firmani, D.; Merialdo, P.; Nieddu, E.; Scardapane, S. (2017). "In codice ratio: OCR of handwritten Latin documents using deep convolutional networks" (PDF). International Workshop on Artificial Intelligence for Cultural Heritage. pp. 9–16.
  6. "AI tackles the Vatican's secrets". MIT Technology Review. 15 March 2018. Retrieved 27 November 2018.
  7. Firmani, Donatella; Merialdo, Paolo; Maiorino, Marco (25 September 2017). "In Codice Ratio: Scalable Transcription of Vatican Registers". ERCIM News. Retrieved 27 November 2018.
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