TY - GEN
T1 - Visually Similar Handwritten Chinese Character Recognition with Convolutional Neural Network
AU - Liu, Wei Han
AU - Ming Lim, Kian
AU - Lee, Chin Poo
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/3
Y1 - 2021/8/3
N2 - Computer vision has penetrated many domains, for instance, security, sports, health and medicine, agriculture, transportation, manufacturing, retail, and so like. One of the computer vision tasks is character recognition. In this work, a visually similar handwritten Chinese character dataset is collected. Subsequently, an enhanced convolutional neural network is proposed for the recognition of visually similar handwritten Chinese characters. The convolutional neural network is enhanced by the dropout regularization and early stopping mechanism to reduce the overfitting problem. The Adam optimizer is also leveraged to accelerate and optimize the training process of the convolutional neural network. The empirical results demonstrate that the enhanced convolutional neural network achieves a 97% accuracy, thus corroborate it has better discriminating power in visually similar handwritten Chinese character recognition.
AB - Computer vision has penetrated many domains, for instance, security, sports, health and medicine, agriculture, transportation, manufacturing, retail, and so like. One of the computer vision tasks is character recognition. In this work, a visually similar handwritten Chinese character dataset is collected. Subsequently, an enhanced convolutional neural network is proposed for the recognition of visually similar handwritten Chinese characters. The convolutional neural network is enhanced by the dropout regularization and early stopping mechanism to reduce the overfitting problem. The Adam optimizer is also leveraged to accelerate and optimize the training process of the convolutional neural network. The empirical results demonstrate that the enhanced convolutional neural network achieves a 97% accuracy, thus corroborate it has better discriminating power in visually similar handwritten Chinese character recognition.
KW - Chinese character recognition
KW - CNN
KW - convolutional neural network
KW - handwritten Chinese character recognition
KW - visually similar handwritten Chinese character recognition
UR - http://www.scopus.com/inward/record.url?scp=85115669406&partnerID=8YFLogxK
U2 - 10.1109/ICoICT52021.2021.9527449
DO - 10.1109/ICoICT52021.2021.9527449
M3 - Conference Proceeding
AN - SCOPUS:85115669406
T3 - 2021 9th International Conference on Information and Communication Technology, ICoICT 2021
SP - 175
EP - 179
BT - 2021 9th International Conference on Information and Communication Technology, ICoICT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Information and Communication Technology, ICoICT 2021
Y2 - 3 August 2021 through 5 August 2021
ER -