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Abstract:

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 against license plates with different character/background colors, the characters (numbers) visual information is encoded using Histograms of Oriented Gradients (HOG). A reliability measure to validate the system outputs is also proposed. Several tests are performed to evaluate the sensitivity of the algorithm to different parameters and kernel functions. © 2018 IPOL and the authors CC-BY-NC-SA.

Registro:

Documento: Artículo
Título:A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition
Autor:Negri, P.
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Argentina
CONICET-Universidad de Buenos Aires, Instituto de Investigacióon en Ciencias de la Computación (ICC), Argentina
Palabras clave:Histogram of oriented gradients; Multi-style license plate recognition; Sequential minimal optimization; Support vector machine
Año:2018
Volumen:8
Página de inicio:37
Página de fin:50
DOI: http://dx.doi.org/10.5201/ipol.2018.173
Título revista:Image Processing On Line
Título revista abreviado:Image Process. On line
ISSN:21051232
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_21051232_v8_n_p37_Negri

Referencias:

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Citas:

---------- APA ----------
(2018) . A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition. Image Processing On Line, 8, 37-50.
http://dx.doi.org/10.5201/ipol.2018.173
---------- CHICAGO ----------
Negri, P. "A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition" . Image Processing On Line 8 (2018) : 37-50.
http://dx.doi.org/10.5201/ipol.2018.173
---------- MLA ----------
Negri, P. "A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition" . Image Processing On Line, vol. 8, 2018, pp. 37-50.
http://dx.doi.org/10.5201/ipol.2018.173
---------- VANCOUVER ----------
Negri, P. A MATLAB SMO implementation to train a SVM classifier: Application to multi-style license plate numbers recognition. Image Process. On line. 2018;8:37-50.
http://dx.doi.org/10.5201/ipol.2018.173