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Found 2 papers, 1 papers with code
Stroke Constrained Attention Network for Online Handwritten Mathematical Expression Recognition
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.
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
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.
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