'Online recognition of Chinese characters: the state-of-the-art

By Chenglin Liu, Stefan Jäger, M. Nakagawa. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004

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Online and offline handwritten Chinese character recognition: Benchmarking on new databases (2013, background): “Particularly, there have been a boom of research from the 1980s owing to the popularity of personal computers and handy devices for data acquisition (laser scanners, writing tablets and PDAs) [1] [2].”
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) (2020, neutral): “C hi ne se Si ng le D ee p N eu ra lN et w or k (S D N N ) 20 18 [1 44 ]”
Drawing and Recognizing Chinese Characters with Recurrent Neural Network (2016, methodology): “Online handwritten Chinese character recognition is a challenging problem [3]”
High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps (2015, neutral): “The detail of Gabor filter is: K2 r(x2 + y2) Gj(X, y)=2 exp[ 2 ] (5) (5 2(5 9\ = KX cos � + '0' sin � ( 6) (5"2 G( .”