# Li 2023: TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

> Minghao Li, Tengchao Lv, Jingye Chen et al., 2023. 1 records on Mysteries Department cite it. Cited in the emerging-methods survey's section on…

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# TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

Minghao Li, Tengchao Lv, Jingye Chen et al., 2023. _Proceedings of AAAI 2023_.

Presents TrOCR, a text recognition model that pairs a pre-trained image Transformer encoder with a pre-trained text Transformer decoder.

**Voynich Manuscript** ArticleChecked against the original0

## What it's used for here

Cited in the emerging-methods survey's section on handwritten text recognition.

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## Cite it

```
Li, M., Lv, T., Chen, J., Cui, L., Lu, Y., Florencio, D., Zhang, C., Li, Z., & Wei, F. (2023). TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models. Proceedings of AAAI 2023. https://arxiv.org/abs/2109.10282
```

[Read it free at arxiv.org](https://arxiv.org/abs/2109.10282)[PDF stored here · 10 pages](https://mysteriesdept.com/sources/SRC0D8MRXNC2515/trocr-transformer-based-optical-character-recognition-with/pdf)

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