A Method of Neighbor Classes Based SVM Classification for Optical Printed Chinese Character Recognition

In optical printed Chinese character recognition (OPCCR), many classifiers have been proposed for the recognition. Among the classifiers, support vector machine (SVM) might be the best classifier. However, SVM is a classifier for two classes. When it is used for multi-classes in OPCCR, its computati...

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Detalles Bibliográficos
Autores principales: Zhang, Jie, Wu, Xiaohong, Yu, Yanmei, Luo, Daisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594215/
https://www.ncbi.nlm.nih.gov/pubmed/23536777
http://dx.doi.org/10.1371/journal.pone.0057928

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3594215/
https://www.ncbi.nlm.nih.gov/pubmed/23536777
http://dx.doi.org/10.1371/journal.pone.0057928

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