no code implementations • 17 Mar 2017 • Shuangping Huangm Zhuoyao Zhong, Lianwen Jin, Shuye Zhang, Haobin Wang
Chinese font recognition (CFR) has gained significant attention in recent years.
5 code implementations • 24 May 2016 • Zhuoyao Zhong, Lianwen Jin, Shuye Zhang, Ziyong Feng
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 network (CNN).
no code implementations • 18 Apr 2016 • Zecheng Xie, Zenghui Sun, Lianwen Jin, Ziyong Feng, Shuye Zhang
This paper proposes an end-to-end framework, namely fully convolutional recurrent network (FCRN) for handwritten Chinese text recognition (HCTR).
Handwriting Recognition Handwritten Chinese Text Recognition +1
no code implementations • 13 Feb 2016 • Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin
Maximally stable extremal regions (MSER), which is a popular method to generate character proposals/candidates, has shown superior performance in scene text detection.
no code implementations • 25 May 2015 • Meijun He, Shuye Zhang, Huiyun Mao, Lianwen Jin
In this paper, we present an effective method to analyze the recognition confidence of handwritten Chinese character, based on the softmax regression score of a high performance convolutional neural networks (CNN).