OcrV1, Main, Merge, bibRecord, 001888

AdaBoost based handwritten/printed discrimination on single character

Identifieur interne : 001888 ( Main/Merge ); précédent : 001887; suivant : 001889

AdaBoost based handwritten/printed discrimination on single character

Auteurs : HAILONG LIU [République populaire de Chine] ; XIAOQING DING [République populaire de Chine] ; CHI FANG [République populaire de Chine]

Source :

SPIE proceedings series [ 1017-2653 ] ; 2003.

RBID : Pascal:03-0422032

Descripteurs français

Pascal (Inist)
- Reconnaissance optique caractère, Caractère imprimé, Caractère manuscrit, Discrimination, Extraction, Caractéristique, Sélection, Classification, Algorithme, AdaBoost (algorithme), Boosting, Document image.
Wicri :
- topic : Classification.

English descriptors

KwdEn :
- Algorithm, Characteristic, Classification, Discrimination, Document image, Extraction, Manuscript character, Optical character recognition, Printed character, Selection.

Abstract

Handwritten and machine-printed characters are recognized separately in most OCR (Optical Character Recognition) systems due to their distinct difference. In applications where both kinds of characters are involved, it is necessary to judge a character's handwritten/printed property before feeding it into the proper recognition engine. In this paper, a new method to discriminate between handwritten and machine-printed character is proposed. Unlike most previous works, the discrimination we carried out in this paper is totally based on single character. Five kinds of statistical features are extracted from character image, then feature selection and classification are implemented simultaneously by a learning algorithm based on AdaBoost. Experiments on large data sets have demonstrated the effectiveness of the method.

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

to stream PascalFrancis, to step Corpus: 000594
to stream PascalFrancis, to step Curation: 000197
to stream PascalFrancis, to step Checkpoint: 000574

Links to Exploration step

Pascal:03-0422032

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">AdaBoost based handwritten/printed discrimination on single character</title>
<author><name sortKey="Hailong Liu" sort="Hailong Liu" uniqKey="Hailong Liu" last="Hailong Liu">HAILONG LIU</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic Engineering, Tsinghua University</s1>
<s2>Beijing 100084</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Xiaoqing Ding" sort="Xiaoqing Ding" uniqKey="Xiaoqing Ding" last="Xiaoqing Ding">XIAOQING DING</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic Engineering, Tsinghua University</s1>
<s2>Beijing 100084</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Chi Fang" sort="Chi Fang" uniqKey="Chi Fang" last="Chi Fang">CHI FANG</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic Engineering, Tsinghua University</s1>
<s2>Beijing 100084</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">03-0422032</idno>
<date when="2003">2003</date>
<idno type="stanalyst">PASCAL 03-0422032 INIST</idno>
<idno type="RBID">Pascal:03-0422032</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000594</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000197</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000574</idno>
<idno type="wicri:doubleKey">1017-2653:2003:Hailong Liu:adaboost:based:handwritten</idno>
<idno type="wicri:Area/Main/Merge">001888</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">AdaBoost based handwritten/printed discrimination on single character</title>
<author><name sortKey="Hailong Liu" sort="Hailong Liu" uniqKey="Hailong Liu" last="Hailong Liu">HAILONG LIU</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic Engineering, Tsinghua University</s1>
<s2>Beijing 100084</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Xiaoqing Ding" sort="Xiaoqing Ding" uniqKey="Xiaoqing Ding" last="Xiaoqing Ding">XIAOQING DING</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic Engineering, Tsinghua University</s1>
<s2>Beijing 100084</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Chi Fang" sort="Chi Fang" uniqKey="Chi Fang" last="Chi Fang">CHI FANG</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>State Key Laboratory of Intelligent Technology and Systems, Dept. of Electronic Engineering, Tsinghua University</s1>
<s2>Beijing 100084</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">SPIE proceedings series</title>
<idno type="ISSN">1017-2653</idno>
<imprint><date when="2003">2003</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">SPIE proceedings series</title>
<idno type="ISSN">1017-2653</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithm</term>
<term>Characteristic</term>
<term>Classification</term>
<term>Discrimination</term>
<term>Document image</term>
<term>Extraction</term>
<term>Manuscript character</term>
<term>Optical character recognition</term>
<term>Printed character</term>
<term>Selection</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance optique caractère</term>
<term>Caractère imprimé</term>
<term>Caractère manuscrit</term>
<term>Discrimination</term>
<term>Extraction</term>
<term>Caractéristique</term>
<term>Sélection</term>
<term>Classification</term>
<term>Algorithme</term>
<term>AdaBoost (algorithme)</term>
<term>Boosting</term>
<term>Document image</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Classification</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Handwritten and machine-printed characters are recognized separately in most OCR (Optical Character Recognition) systems due to their distinct difference. In applications where both kinds of characters are involved, it is necessary to judge a character's handwritten/printed property before feeding it into the proper recognition engine. In this paper, a new method to discriminate between handwritten and machine-printed character is proposed. Unlike most previous works, the discrimination we carried out in this paper is totally based on single character. Five kinds of statistical features are extracted from character image, then feature selection and classification are implemented simultaneously by a learning algorithm based on AdaBoost. Experiments on large data sets have demonstrated the effectiveness of the method.</div>
</front>
</TEI>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
<settlement><li>Pékin</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Hailong Liu" sort="Hailong Liu" uniqKey="Hailong Liu" last="Hailong Liu">HAILONG LIU</name>
</noRegion>
<name sortKey="Chi Fang" sort="Chi Fang" uniqKey="Chi Fang" last="Chi Fang">CHI FANG</name>
<name sortKey="Xiaoqing Ding" sort="Xiaoqing Ding" uniqKey="Xiaoqing Ding" last="Xiaoqing Ding">XIAOQING DING</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

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

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001888 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 001888 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Merge
   |type=    RBID
   |clé=     Pascal:03-0422032
   |texte=   AdaBoost based handwritten/printed discrimination on single character
}}

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

AdaBoost based handwritten/printed discrimination on single character

AdaBoost based handwritten/printed discrimination on single character

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri