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Investigation of normalization techniques and their impact on a recognition rate in handwritten numeral recognition

2010
journal article
article
Journal
Schedae Informaticae
Author
Chmielnicki Wiesław

Stąpor Katarzyna
Volume
19
Pages
53-77
ISSN
1732-3916
eISSN
2083-8476
Keywords in English

handwritten numeral recognition

normalization techniques

SVM classifier

feature vectors

OCR

geometric invariants

Zernike moments

gradient features

URL
http://www.ejournals.eu/sj/index.php/SI/article/view/3000
Access date
2019-06-10
Language
English
Journal language
English
Abstract in English

This paper presents several normalization techniques used in handwritten numeral recognition and their impact on recognition rates. Experiments with five different feature vectors based on geometric invariants, Zernike moments and gradient features are conducted. The recognition rates obtained using combination of these methods with gradient features and the SVM-rbf classifier are comparable to the best state-of-art techniques.

Affiliation
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Zakład Technologii Gier
dc.abstract.enThis paper presents several normalization techniques used in handwritten numeral recognition and their impact on recognition rates. Experiments with five different feature vectors based on geometric invariants, Zernike moments and gradient features are conducted. The recognition rates obtained using combination of these methods with gradient features and the SVM-rbf classifier are comparable to the best state-of-art techniques.pl
dc.affiliationWydział Fizyki, Astronomii i Informatyki Stosowanej : Zakład Technologii Gierpl
dc.contributor.authorChmielnicki, Wiesław - 160876 pl
dc.contributor.authorStąpor, Katarzynapl
dc.date.accession2019-06-10pl
dc.date.accessioned2019-06-10T10:29:03Z
dc.date.available2019-06-10T10:29:03Z
dc.date.issued2010pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.physical53-77pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume19pl
dc.identifier.eissn2083-8476pl
dc.identifier.issn1732-3916pl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/76930
dc.identifier.weblinkhttp://www.ejournals.eu/sj/index.php/SI/article/view/3000pl
dc.languageengpl
dc.language.containerengpl
dc.rightsDozwolony użytek utworów chronionych*
dc.rights.licenceInna otwarta licencja
dc.rights.urihttp://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf*
dc.share.typeotwarte czasopismo
dc.subject.enhandwritten numeral recognitionpl
dc.subject.ennormalization techniquespl
dc.subject.enSVM classifierpl
dc.subject.enfeature vectorspl
dc.subject.enOCRpl
dc.subject.engeometric invariantspl
dc.subject.enZernike momentspl
dc.subject.engradient featurespl
dc.subtypeArticlepl
dc.titleInvestigation of normalization techniques and their impact on a recognition rate in handwritten numeral recognitionpl
dc.title.journalSchedae Informaticaepl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
This paper presents several normalization techniques used in handwritten numeral recognition and their impact on recognition rates. Experiments with five different feature vectors based on geometric invariants, Zernike moments and gradient features are conducted. The recognition rates obtained using combination of these methods with gradient features and the SVM-rbf classifier are comparable to the best state-of-art techniques.
dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Zakład Technologii Gier
dc.contributor.authorpl
Chmielnicki, Wiesław - 160876
dc.contributor.authorpl
Stąpor, Katarzyna
dc.date.accessionpl
2019-06-10
dc.date.accessioned
2019-06-10T10:29:03Z
dc.date.available
2019-06-10T10:29:03Z
dc.date.issuedpl
2010
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.physicalpl
53-77
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
19
dc.identifier.eissnpl
2083-8476
dc.identifier.issnpl
1732-3916
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/76930
dc.identifier.weblinkpl
http://www.ejournals.eu/sj/index.php/SI/article/view/3000
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Dozwolony użytek utworów chronionych
dc.rights.licence
Inna otwarta licencja
dc.rights.uri*
http://ruj.uj.edu.pl/4dspace/License/copyright/licencja_copyright.pdf
dc.share.type
otwarte czasopismo
dc.subject.enpl
handwritten numeral recognition
dc.subject.enpl
normalization techniques
dc.subject.enpl
SVM classifier
dc.subject.enpl
feature vectors
dc.subject.enpl
OCR
dc.subject.enpl
geometric invariants
dc.subject.enpl
Zernike moments
dc.subject.enpl
gradient features
dc.subtypepl
Article
dc.titlepl
Investigation of normalization techniques and their impact on a recognition rate in handwritten numeral recognition
dc.title.journalpl
Schedae Informaticae
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations
No affiliation
Chmielnicki, Wiesław
Stąpor, Katarzyna

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