Hengyang Wang, Jin Liu*, Haoliang Ren
Journal on Big Data, Vol.3, No.3, pp. 119-126, 2021, DOI:10.32604/jbd.2021.017184
Abstract The past decade has seen the rapid development of text detection based on
deep learning. However, current methods of Chinese character detection and
recognition have proven to be poor. The accuracy of segmenting text boxes in natural
scenes is not impressive. The reasons for this strait can be summarized into two points:
the complexity of natural scenes and numerous types of Chinese characters. In
response to these problems, we proposed a lightweight neural network architecture
named CTSF. It consists of two modules, one is a text detection network that
combines CTPN and the image feature extraction modules of PVANet, named… More >
Login
Register
