Noisy digit classification with multiple specialist

Andoni Cortes; Fernando Boto; Clemente Rodriguez

doi:10.1007/11551188_66

Noisy digit classification with multiple specialist

Andoni Cortes^*
, Fernando Boto
, Clemente Rodriguez

^*Autor correspondiente de este trabajo

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

A multi-classifier formed by specialised classifiers for noise produced by an image is shown in this work. A study has been carried out in the case of structure noisy images. Classifiers based on neighbourhood criteria are used in this work, the zoning global feature and the Euclidean distance too. The experiments have been carried out with images of typewritten digits, taken from forms of the Bank of Spain. Trying to obtain a strong database to support the experiments, we have added noise to the images of the digits. The recognition rate improves from 64.58% to 96.18%.

Idioma original	Inglés
Páginas (desde-hasta)	601-608
Número de páginas	8
Publicación	Lecture Notes in Computer Science
Volumen	3686
N.º	PART I
DOI	https://doi.org/10.1007/11551188_66
Estado	Publicada - 2005
Publicado de forma externa	Sí
Evento	Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, Reino Unido Duración: 22 ago 2005 → 25 ago 2005

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title = "Noisy digit classification with multiple specialist",

abstract = "A multi-classifier formed by specialised classifiers for noise produced by an image is shown in this work. A study has been carried out in the case of structure noisy images. Classifiers based on neighbourhood criteria are used in this work, the zoning global feature and the Euclidean distance too. The experiments have been carried out with images of typewritten digits, taken from forms of the Bank of Spain. Trying to obtain a strong database to support the experiments, we have added noise to the images of the digits. The recognition rate improves from 64.58\% to 96.18\%.",

author = "Andoni Cortes and Fernando Boto and Clemente Rodriguez",

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journal = "Lecture Notes in Computer Science",

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AU - Boto, Fernando

AU - Rodriguez, Clemente

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AB - A multi-classifier formed by specialised classifiers for noise produced by an image is shown in this work. A study has been carried out in the case of structure noisy images. Classifiers based on neighbourhood criteria are used in this work, the zoning global feature and the Euclidean distance too. The experiments have been carried out with images of typewritten digits, taken from forms of the Bank of Spain. Trying to obtain a strong database to support the experiments, we have added noise to the images of the digits. The recognition rate improves from 64.58% to 96.18%.

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ER -

Noisy digit classification with multiple specialist

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