CVSep 1, 2013
Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification
arXiv:1309.0261v1187 citations
Originality Incremental advance
AI Analysis
This work addresses the problem of accurate offline handwritten Chinese character recognition for applications in document digitization and automation, representing a strong specific gain rather than a broad paradigm shift.
The paper tackles offline handwritten Chinese character recognition by introducing Multi-Column Deep Neural Networks, achieving best known recognition rates on ICDAR 2011 and 2013 competition datasets and approaching human performance.
Our Multi-Column Deep Neural Networks achieve best known recognition rates on Chinese characters from the ICDAR 2011 and 2013 offline handwriting competitions, approaching human performance.