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

doi:10.1007/978-3-030-16181-1_82

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

^*Corresponding author for this work

Matemáticas

Universidad San Francisco de Quito
Escuela Politecnica Nacional

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	New Knowledge in Information Systems and Technologies - Volume 1
Editors	Luís Paulo Reis, Sandra Costanzo, Hojjat Adeli, Álvaro Rocha
Publisher	Springer Verlag
Pages	875-885
Number of pages	11
ISBN (Print)	9783030161804
DOIs	https://doi.org/10.1007/978-3-030-16181-1_82
State	Published - 2019
Event	World Conference on Information Systems and Technologies, WorldCIST 2019 - Galicia, Spain Duration: 16 Apr 2019 → 19 Apr 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	930
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	World Conference on Information Systems and Technologies, WorldCIST 2019
Country/Territory	Spain
City	Galicia
Period	16/04/19 → 19/04/19

Keywords

Logistic regression
Number recognition algorithm
Stochastic algorithms
Typical testor

Access to Document

10.1007/978-3-030-16181-1_82

Cite this

Muenala, K., Ibarra-Fiallo, J., & Intriago-Pazmiño, M. (2019). Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors. In L. P. Reis, S. Costanzo, H. Adeli, & Á. Rocha (Eds.), New Knowledge in Information Systems and Technologies - Volume 1 (pp. 875-885). (Advances in Intelligent Systems and Computing; Vol. 930). Springer Verlag. https://doi.org/10.1007/978-3-030-16181-1_82

Muenala, Kuntur ; Ibarra-Fiallo, Julio ; Intriago-Pazmiño, Monserrate. / Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors. New Knowledge in Information Systems and Technologies - Volume 1. editor / Luís Paulo Reis ; Sandra Costanzo ; Hojjat Adeli ; Álvaro Rocha. Springer Verlag, 2019. pp. 875-885 (Advances in Intelligent Systems and Computing).

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abstract = "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.",

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author = "Kuntur Muenala and Julio Ibarra-Fiallo and Monserrate Intriago-Pazmi{\~n}o",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; World Conference on Information Systems and Technologies, WorldCIST 2019 ; Conference date: 16-04-2019 Through 19-04-2019",

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Muenala, K, Ibarra-Fiallo, J & Intriago-Pazmiño, M 2019, Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors. in LP Reis, S Costanzo, H Adeli & Á Rocha (eds), New Knowledge in Information Systems and Technologies - Volume 1. Advances in Intelligent Systems and Computing, vol. 930, Springer Verlag, pp. 875-885, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16/04/19. https://doi.org/10.1007/978-3-030-16181-1_82

Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors. / Muenala, Kuntur; Ibarra-Fiallo, Julio; Intriago-Pazmiño, Monserrate.
New Knowledge in Information Systems and Technologies - Volume 1. ed. / Luís Paulo Reis; Sandra Costanzo; Hojjat Adeli; Álvaro Rocha. Springer Verlag, 2019. p. 875-885 (Advances in Intelligent Systems and Computing; Vol. 930).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ibarra-Fiallo, Julio

AU - Intriago-Pazmiño, Monserrate

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Logistic regression

KW - Number recognition algorithm

KW - Stochastic algorithms

KW - Typical testor

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DO - 10.1007/978-3-030-16181-1_82

M3 - Contribución a la conferencia

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A2 - Costanzo, Sandra

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PB - Springer Verlag

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Muenala K, Ibarra-Fiallo J, Intriago-Pazmiño M. Study of the Number Recognition Algorithms Efficiency After a Reduction of the Characteristic Space Using Typical Testors. In Reis LP, Costanzo S, Adeli H, Rocha Á, editors, New Knowledge in Information Systems and Technologies - Volume 1. Springer Verlag. 2019. p. 875-885. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-16181-1_82

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

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Keywords

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