Volume 6, Issue 1, June 2019, Pages 52 - 55
The Recognition and Implementation of Handwritten Character based on Deep Learning
Received 23 October 2018, Accepted 20 November 2018, Available Online 25 June 2019.
- 10.2991/jrnal.k.190601.002How to use a DOI?
- Deep learning; machine learning; pattern recognition; handwritten character recognition; convolution neural network
This paper mainly focuses on the recognition of Chinese handwritten characters. By using the deep learning technology, a deep convolution neural network (CNN) is constructed to identify the handwritten character set, and finally gets the network structure that can be used for recognition. By comparing with other handwritten characters, the engineering application value of the network structure used in this paper is proved, and finally the handwritten character recognition system based on this model also embodies the feasibility of the network structure.
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Fengzhi Dai AU - Zhongyong Ye AU - Xia Jin PY - 2019 DA - 2019/06/25 TI - The Recognition and Implementation of Handwritten Character based on Deep Learning JO - Journal of Robotics, Networking and Artificial Life SP - 52 EP - 55 VL - 6 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.190601.002 DO - 10.2991/jrnal.k.190601.002 ID - Dai2019 ER -