A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition
This paper implements the Support Vector Machine (SVM) training procedure proposed by John Platt denominated Sequential Minimimal Optimization (SMO). The application of this system involves a multi-style license plate characters recognition identifying numbers from “0” to “9”. In order to be robust...
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| Publicado: |
2018
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_21051232_v8_n_p37_Negri http://hdl.handle.net/20.500.12110/paper_21051232_v8_n_p37_Negri |
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