Chinese Font Recognition Based on Convolution Neural Network
- 10.2991/amcce-18.2018.97How to use a DOI?
- Font Recognition; Image Processing; CNN
In the traditional OCR text recognition system, recognition rate is low with many errors.Also, it can not effectively identify the different text fonts. It’s a long-standing problem. Modern text recognition system should be for different fonts within accuracy to identify the text and font information. The traditional methods are mostly based on feature extraction, including local features extraction and global features extraction. Proposes a Convolution Neural Network based on deep learning to deal with Chinese font recognition. Compared with the previous methods, this method has high recognition rate and high speed and is suitable for complex applications.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yifan Chang PY - 2018/05 DA - 2018/05 TI - Chinese Font Recognition Based on Convolution Neural Network BT - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) PB - Atlantis Press SP - 562 EP - 566 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-18.2018.97 DO - 10.2991/amcce-18.2018.97 ID - Chang2018/05 ER -