no code implementations • 20 Feb 2020 • Jia-Ming Wang, Jun Du, Jianshu Zhang
For single-modal HMER, SCAN first employs a CNN-GRU encoder to extract point-level features from input traces in online mode and employs a CNN encoder to extract pixel-level features from input images in offline mode, then use stroke constrained information to convert them into online and offline stroke-level features.
1 code implementation • 24 Dec 2018 • 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-of-the-art performance.