OcrV1, Main, Exploration, bibRecord, 000B01

A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes

Identifieur interne : 000B01 ( Main/Exploration ); précédent : 000B00; suivant : 000B02

A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes

Auteurs : HAI GUO [République populaire de Chine] ; Jing-Ying Zhao [République populaire de Chine]

Source :

Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2009.

RBID : Pascal:10-0087597

Descripteurs français

Pascal (Inist)
- Décomposition, Transformation ondelette, Méthode optique, Application, Industrie agricole, Descripteur, Energie, Texture, Classification, Anglais, Xizang, Résultat expérimental, 0130C, 4290, 8920, Photonique.
Wicri :
- topic : Classification.

English descriptors

KwdEn :
- Agricultural industry, Application, Classification, Decomposition, Descriptor, Energy, English, Experimental result, Optical method, Photonics, Texture, Tibet, Wavelet transforms.

Abstract

The existing Chinese Minorities OCR system is mainly oriented in the "literacy" level, the script recognition has not attracted the attention it deserves, and the area of recognizing the kinds of Chinese minority scripts is still in a blank. This paper presents a method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Multinomial Naive Bayes. The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Multinomial Naive Bayes is presented which adopts wavelet decomposition that obtains feature descriptor of wavelet energy and wavelet energy distribution proportion. Combined with the texture feature of Chinese minority scripts, radially classification in Multinomial Naive Bayes. Among Chinese, English and Chinese minority scripts such as Tibetan, Tai Lue, Naxi Pictographs, Uighur, Tai Le, Yi, the experimental results show the recognition rate is up to 90%.

Affiliations:

République populaire de Chine

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000202
to stream PascalFrancis, to step Curation: 000575
to stream PascalFrancis, to step Checkpoint: 000218
to stream Main, to step Merge: 000B12
to stream Main, to step Curation: 000B01

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes</title>
<author><name sortKey="Hai Guo" sort="Hai Guo" uniqKey="Hai Guo" last="Hai Guo">HAI GUO</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Dalian Nationalities University</s1>
<s2>Dalian</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Dalian Nationalities University</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Zhao, Jing Ying" sort="Zhao, Jing Ying" uniqKey="Zhao J" first="Jing-Ying" last="Zhao">Jing-Ying Zhao</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Dalian Nationalities University</s1>
<s2>Dalian</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Dalian Nationalities University</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">10-0087597</idno>
<date when="2009">2009</date>
<idno type="stanalyst">PASCAL 10-0087597 INIST</idno>
<idno type="RBID">Pascal:10-0087597</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000202</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000575</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000218</idno>
<idno type="wicri:doubleKey">0277-786X:2009:Hai Guo:a:chinese:minority</idno>
<idno type="wicri:Area/Main/Merge">000B12</idno>
<idno type="wicri:Area/Main/Curation">000B01</idno>
<idno type="wicri:Area/Main/Exploration">000B01</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes</title>
<author><name sortKey="Hai Guo" sort="Hai Guo" uniqKey="Hai Guo" last="Hai Guo">HAI GUO</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Dalian Nationalities University</s1>
<s2>Dalian</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Dalian Nationalities University</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Zhao, Jing Ying" sort="Zhao, Jing Ying" uniqKey="Zhao J" first="Jing-Ying" last="Zhao">Jing-Ying Zhao</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Dalian Nationalities University</s1>
<s2>Dalian</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Dalian Nationalities University</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
<idno type="ISSN">0277-786X</idno>
<imprint><date when="2009">2009</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
<idno type="ISSN">0277-786X</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agricultural industry</term>
<term>Application</term>
<term>Classification</term>
<term>Decomposition</term>
<term>Descriptor</term>
<term>Energy</term>
<term>English</term>
<term>Experimental result</term>
<term>Optical method</term>
<term>Photonics</term>
<term>Texture</term>
<term>Tibet</term>
<term>Wavelet transforms</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Décomposition</term>
<term>Transformation ondelette</term>
<term>Méthode optique</term>
<term>Application</term>
<term>Industrie agricole</term>
<term>Descripteur</term>
<term>Energie</term>
<term>Texture</term>
<term>Classification</term>
<term>Anglais</term>
<term>Xizang</term>
<term>Résultat expérimental</term>
<term>0130C</term>
<term>4290</term>
<term>8920</term>
<term>Photonique</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Classification</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The existing Chinese Minorities OCR system is mainly oriented in the "literacy" level, the script recognition has not attracted the attention it deserves, and the area of recognizing the kinds of Chinese minority scripts is still in a blank. This paper presents a method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Multinomial Naive Bayes. The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and Multinomial Naive Bayes is presented which adopts wavelet decomposition that obtains feature descriptor of wavelet energy and wavelet energy distribution proportion. Combined with the texture feature of Chinese minority scripts, radially classification in Multinomial Naive Bayes. Among Chinese, English and Chinese minority scripts such as Tibetan, Tai Lue, Naxi Pictographs, Uighur, Tai Le, Yi, the experimental results show the recognition rate is up to 90%.</div>
</front>
</TEI>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Hai Guo" sort="Hai Guo" uniqKey="Hai Guo" last="Hai Guo">HAI GUO</name>
</noRegion>
<name sortKey="Zhao, Jing Ying" sort="Zhao, Jing Ying" uniqKey="Zhao J" first="Jing-Ying" last="Zhao">Jing-Ying Zhao</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000B01 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000B01 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Pascal:10-0087597
   |texte=   A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes
}}

This area was generated with Dilib version V0.6.32.
Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024

	Serveur d'exploration sur l'OCR
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur l'OCR

A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes

A Chinese Minority Script Recognition Method Based on Wavelet Feature and Multinomial Naive Bayes

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri