116 citations · 137 across the 8 of their papers we have counts for
5 papers · 1 filter
Leveraging Structure Knowledge and Deep Models for the Detection of Abnormal Handwritten Text
Zi-Rui Wang
Currently, the destruction of the sequence structure in handwritten text has become one of the main bottlenecks restricting the recognition task. The typical situations include add…
Joint Architecture and Knowledge Distillation in CNN for Chinese Text Recognition
Zi-Rui Wang, Jun Du
The technique of distillation helps transform cumbersome neural network into compact network so that the model can be deployed on alternative hardware devices. The main advantages…
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
Zi-Rui Wang, Jun Du, Jia-Ming Wang
Recently, the hybrid convolutional neural network hidden Markov model (CNN-HMM) has been introduced for offline handwritten Chinese text recognition (HCTR) and has achieved state-o…
Parsimonious HMMs for Offline Handwritten Chinese Text Recognition
Wenchao Wang, Jun Du, Zi-Rui Wang
Recently, hidden Markov models (HMMs) have achieved promising results for offline handwritten Chinese text recognition. However, due to the large vocabulary of Chinese characters w…
DenseRAN for Offline Handwritten Chinese Character Recognition
Wenchao Wang, Jianshu Zhang, Jun Du +2
Recently, great success has been achieved in offline handwritten Chinese character recognition by using deep learning methods. Chinese characters are mainly logographic and consist…