TY - GEN
T1 - Multi-type Digital Recognition Based on TensorFlow
AU - Ma, Zhe
AU - Ding, Junhang
AU - Wang, Haonan
AU - Wang, Fan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - For the problem of inaccurate identification of numbers, this paper is based on LeNet-5 network structure and optimizes it. The objective function and optimizer are added after the network output, and the sample library is updated to make it more accurate to identify multiple types of numbers. The optimized architecture is applied to identify multiple types of numbers, trained and tested, and the optimization parameters are selected by comparison. The experimental results show that the optimization parameters of certain values have a higher recognition rate for identifying numbers. The study has reference value for multi-type digital recognition.
AB - For the problem of inaccurate identification of numbers, this paper is based on LeNet-5 network structure and optimizes it. The objective function and optimizer are added after the network output, and the sample library is updated to make it more accurate to identify multiple types of numbers. The optimized architecture is applied to identify multiple types of numbers, trained and tested, and the optimization parameters are selected by comparison. The experimental results show that the optimization parameters of certain values have a higher recognition rate for identifying numbers. The study has reference value for multi-type digital recognition.
KW - LeNet-5 model
KW - convolutional neural networks
KW - multiple types of numbers
UR - https://www.scopus.com/pages/publications/85062786032
U2 - 10.1109/CAC.2018.8623388
DO - 10.1109/CAC.2018.8623388
M3 - 会议稿件
AN - SCOPUS:85062786032
T3 - Proceedings 2018 Chinese Automation Congress, CAC 2018
SP - 1983
EP - 1985
BT - Proceedings 2018 Chinese Automation Congress, CAC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Chinese Automation Congress, CAC 2018
Y2 - 30 November 2018 through 2 December 2018
ER -