Four-channel convolutional Chinese handwriting recognition based on MobileNetV2

Taibing Chen; Gang Li; Pengbo Li; Ling Zhang; Zhibo Yang; QiYang Wang

doi:10.1117/12.2682349

26 May 2023 Four-channel convolutional Chinese handwriting recognition based on MobileNetV2

Taibing Chen, Gang Li, Pengbo Li, Ling Zhang, Zhibo Yang, QiYang Wang

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 1270028 (2023) https://doi.org/10.1117/12.2682349
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

Handwriting Chinese Character Recognition (HCCR) is the foundation of document digitization. It is a challenging subject in the field of image classification and recognition for a series of reasons such as the large number of Chinese characters, the diversification of writing style and numerous similar characters. To solve the above problems, this paper designs a four-channel convolution recognition model based on MobileNetV2. First, the input image is sent to four-channel convolution with different receptive fields, and feature maps of different scales are extracted respectively to improve the accuracy of the model. Then the feature maps are combined to enrich the diversity of features. Afterwards, the combined features are weighted by SE Block, and more useful feature maps are screened by this means to accelerate the model convergence. Finally, the lightweight network mobilenetv2 is used to classify the weighted features. The experimental results show that the recognition accuracy of the four-channel convolution recognition model based on mobilenetv2 on the offline handwritten Chinese character set CASIA-HWDB1.1 has reached 96.05%, and the convergence speed of the model is extremely fast. Also, the memory occupation and parameter quantity are far lower than other Chinese handwriting character recognition models.

Citation Download Citation

Taibing Chen, Gang Li, Pengbo Li, Ling Zhang, Zhibo Yang, and QiYang Wang "Four-channel convolutional Chinese handwriting recognition based on MobileNetV2", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 1270028 (26 May 2023); https://doi.org/10.1117/12.2682349

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KEYWORDS

Convolution

Optical character recognition

Education and training

Feature extraction

Data modeling

Performance modeling

Deep learning

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