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
These leaderboards are used to track progress in Offline Handwritten Chinese Character Recognition
CASIA-HWDB
Most implemented papers
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).
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).
