Offline handwritten Chinese character using convolutional neural network: State-of-the-art methods

• Main Authors: Zhong, Yingna, Kauthar, Mohd Daud, Ain Najiha, Mohamad Nor, Ikuesan, Richard Adeyemi, Moorthy, Kohbalan
• Format: Article
• Language: English
• Published: Fuji Technology Press 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/38383/1/Offline%20handwritten%20chinese%20character%20using%20convolutional%20neural%20network.pdf; http://umpir.ump.edu.my/id/eprint/38383/; https://doi.org/10.20965/jaciii.2023.p0567; https://doi.org/10.20965/jaciii.2023.p0567

Given the presence of handwritten documents in human transactions, including email sorting, bank checks, and automating procedures, handwritten characters recognition (HCR) of documents has been invaluable to society. Handwritten Chinese characters (HCC) can be divided into offline and online catego...