212 citations · 1k across the 74 of their papers we have counts for
4 papers · 1 filter
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
Zecheng Xie, Zenghui Sun, Lianwen Jin +2
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it involves a large-scale character set, ambiguous segmentation, and variable-length input sequences…
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
Zhuoyao Zhong, Lianwen Jin, Shuye Zhang +1
In this paper, we develop a novel unified framework called DeepText for text region proposal generation and text detection in natural images via a fully convolutional neural networ…
Fully Convolutional Recurrent Network for Handwritten Chinese Text Recognition
Zecheng Xie, Zenghui Sun, Lianwen Jin +2
This paper proposes an end-to-end framework, namely fully convolutional recurrent network (FCRN) for handwritten Chinese text recognition (HCTR). Unlike traditional methods that re…
Character Proposal Network for Robust Text Extraction
Shuye Zhang, Mude Lin, Tianshui Chen +2
Maximally stable extremal regions (MSER), which is a popular method to generate character proposals/candidates, has shown superior performance in scene text detection. However, the…