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...

Descripción completa

Detalles Bibliográficos
Autor principal: Negri, P.
Formato: JOUR
Materias:
Histogram of oriented gradients
Multi-style license plate recognition
Sequential minimal optimization
Support vector machine
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_21051232_v8_n_p37_Negri
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

Ejemplares similares

Ejemplares similares