Reconstructed SqueezeNext with C-CBAM for offline handwritten Chinese character recognition

BACKGROUND: Handwritten Chinese character recognition (HCCR) is a difficult problem in character recognition. Chinese characters are diverse and many of them are very similar. The HCCR model consumes a large number of computational resources during runtime, making it difficult to deploy to resource-...

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Detalles Bibliográficos
Autores principales: Wu, Ruiqi, Zhou, Feng, Li, Nan, Liu, Xian, Wang, Rugang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496007/
https://www.ncbi.nlm.nih.gov/pubmed/37705648
http://dx.doi.org/10.7717/peerj-cs.1529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496007/
https://www.ncbi.nlm.nih.gov/pubmed/37705648
http://dx.doi.org/10.7717/peerj-cs.1529

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