Offline Handwritten Chinese Character Recognition
2 papers with code • 0 benchmarks • 1 datasets
Handwritten Chinese characters recognition is the task of detecting and interpreting the components of Chinese characters (i.e. radicals and two-dimensional structures).
Benchmarks
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Latest papers
A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization
Recent researches introduced fast, compact and efficient convolutional neural networks (CNNs) for offline handwritten Chinese character recognition (HCCR).
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
We design a streamlined version of GoogLeNet [13], which was original proposed for image classification in recent years with very deep architecture, for HCCR (denoted as HCCR-GoogLeNet).