Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors

Kuntur Muenala, Julio Ibarra-Fiallo, Monserrate Intriago-Pazmiño

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The present work studies an application of typical testors to reduce the space of characteristics used as inputs in statistical models to recognize a manuscript digit from its corresponding binary image. The fundamentals of typical testors are described, and the use of logistic and multilogistic regression models in the predictions. Images from the public database of the Semeion Research Center of Sciences of Communication are used. Adequate prediction results were achieved in a reduced space of characteristics.

Idioma originalInglés
Título de la publicación alojadaNew Knowledge in Information Systems and Technologies - Volume 1
EditoresLuís Paulo Reis, Sandra Costanzo, Hojjat Adeli, Álvaro Rocha
EditorialSpringer Verlag
Páginas875-885
Número de páginas11
ISBN (versión impresa)9783030161804
DOI
EstadoPublicada - 2019
EventoWorld Conference on Information Systems and Technologies, WorldCIST 2019 - Galicia, Espana
Duración: 16 abr. 201919 abr. 2019

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen930
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

ConferenciaWorld Conference on Information Systems and Technologies, WorldCIST 2019
País/TerritorioEspana
CiudadGalicia
Período16/04/1919/04/19

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