"Handwritten Font Classification Method Based on Ghost Imaging" by Ruyu Yan, Xiaoxia Wang et al.
With the rapid development of the economy, financial services such as bills are also increasing day by day. Among them, the important information in the bill business, such as personal vouchers, checks, and other bills, requires manual reading and input of a large amount of digital information. In order to avoid the waste of human and financial resources, related researchers classify and recognize handwritten fonts based on the neural network classification idea of deep learning. When the method based on deep learning is used for feature extraction of handwritten fonts, t...