Handwritten Formula Symbol Recognition Based on Multi-Feature Convolutional Neural Network

Dingbang Fang; Gui Feng; Haiyan Cao; Hengjie Yang; Xue Han; Yincheng Yi

doi:10.3788/LOP56.072001

Laser & Optoelectronics Progress, Volume. 56, Issue 7, 072001(2019)

Handwritten Formula Symbol Recognition Based on Multi-Feature Convolutional Neural Network

Dingbang Fang, Gui Feng^*, Haiyan Cao, Hengjie Yang, Xue Han, and Yincheng Yi

Xiamen Key Laboratory of Mobile Mutimedia Communications, College of Information Science and Engineering, Huaqiao University, Xiamen, Fujian 361021, China

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Dingbang Fang, Gui Feng, Haiyan Cao, Hengjie Yang, Xue Han, Yincheng Yi. Handwritten Formula Symbol Recognition Based on Multi-Feature Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(7): 072001

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Paper Information

Category: Optics in Computing

Received: Sep. 26, 2018

Accepted: Oct. 31, 2018

Published Online: Jul. 30, 2019

The Author Email: Gui Feng (fengg@hqu.edu.cn)

DOI:10.3788/LOP56.072001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology