# Embedded Large-Scale Handwritten Chinese Character Recognition

arXiv: https://arxiv.org/abs/2004.06209 · HTML: https://mlsanity.com/paper/2004.06209/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Apr 2020.

## Built on by (most cited first, 1 of 1)

- [A new database of Houma Alliance Book ancient handwritten characters and classifier fusion approach](https://mlsanity.com/paper/2207.05993/) (2022)

## Abstract (arXiv)

As handwriting input becomes more prevalent, the large symbol inventory required to support Chinese handwriting recognition poses unique challenges. This paper describes how the Apple deep learning recognition system can accurately handle up to 30,000 Chinese characters while running in real-time across a range of mobile devices. To achieve acceptable accuracy, we paid particular attention to data collection conditions, representativeness of writing styles, and training regimen. We found that, with proper care, even larger inventories are within reach. Our experiments show that accuracy only degrades slowly as the inventory increases, as long as we use training data of sufficient quality and in sufficient quantity.