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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| 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 |