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

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

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%.

Original language	English
Pages (from-to)	601-608
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	3686
Issue number	PART I
DOIs	https://doi.org/10.1007/11551188_66
Publication status	Published - 2005
Externally published	Yes
Event	Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom Duration: 22 Aug 2005 → 25 Aug 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",

year = "2005",

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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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DO - 10.1007/11551188_66

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SN - 0302-9743

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ER -

Noisy digit classification with multiple specialist

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