Chinese Font Recognition Based on Convolution Neural Network

DOI

10.2991/amcce-18.2018.97How to use a DOI?

Keywords

Font Recognition; Image Processing; CNN

Abstract

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[1] 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.

Copyright

© 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/).

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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  -