Handwritten Chinese Text Recognition
3 papers with code • 0 benchmarks • 2 datasets
Handwritten Chinese text recognition is the task of interpreting handwritten Chinese input, e.g., from images of documents or scans.
Benchmarks
These leaderboards are used to track progress in Handwritten Chinese Text Recognition
ICDAR 2013
CASIA-HWDB
Most implemented papers
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition
Utilizing the proposed weakly supervised learning framework, PageNet requires only transcripts to be annotated for real data; however, it can still output detection and recognition results at both the character and line levels, avoiding the labor and cost of labeling bounding boxes of characters and text lines.
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
intel/handwritten-chinese-ocr-samples
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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.
Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks
intel/handwritten-chinese-ocr-samples
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Deep learning based methods have been dominating the text recognition tasks in different and multilingual scenarios.
