An Efficient Recognition Method for Arabic OCR
Identifieur interne : 000796 ( Main/Exploration ); précédent : 000795; suivant : 000797An Efficient Recognition Method for Arabic OCR
Auteurs : Haidar Almohri [États-Unis] ; Hossain Almohri [Koweït]Source :
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Optical Character Recognition (OCR) is an area of research that has attracted the interest of researchers for the past forty years. Although the subject has been the center topic for many researchers for years, it remains one of the most challenging and exciting areas in pattern recognition. Since Arabic is one of the most widely used languages in the world, the demand for a robust OCR for this language could be commercially valuable. In this research, a noble and efficient recognition algorithm for recognizing the Arabic characters is proposed. This algorithm is based on feature extraction and using a Fuzzy ART Neural Network. A recognition rate of 95% is reported.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000088
- to stream PascalFrancis, to step Curation: 000684
- to stream PascalFrancis, to step Checkpoint: 000171
- to stream Main, to step Merge: 000802
- to stream Main, to step Curation: 000796
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">An Efficient Recognition Method for Arabic OCR</title><author><name sortKey="Almohri, Haidar" sort="Almohri, Haidar" uniqKey="Almohri H" first="Haidar" last="Almohri">Haidar Almohri</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>College of Engineering and Technology, University of Hartford</s1><s2>Hartford, CT</s2><s3>USA</s3><sZ>1 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Almohri, Hossain" sort="Almohri, Hossain" uniqKey="Almohri H" first="Hossain" last="Almohri">Hossain Almohri</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Engineering, Kuwait University</s1><s3>KWT</s3><sZ>2 aut.</sZ></inist:fA14><country>Koweït</country><wicri:noRegion>College of Engineering, Kuwait University</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">12-0306500</idno><date when="2010">2010</date><idno type="stanalyst">PASCAL 12-0306500 INIST</idno><idno type="RBID">Pascal:12-0306500</idno><idno type="wicri:Area/PascalFrancis/Corpus">000088</idno><idno type="wicri:Area/PascalFrancis/Curation">000684</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000171</idno><idno type="wicri:Area/Main/Merge">000802</idno><idno type="wicri:Area/Main/Curation">000796</idno><idno type="wicri:Area/Main/Exploration">000796</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">An Efficient Recognition Method for Arabic OCR</title><author><name sortKey="Almohri, Haidar" sort="Almohri, Haidar" uniqKey="Almohri H" first="Haidar" last="Almohri">Haidar Almohri</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>College of Engineering and Technology, University of Hartford</s1><s2>Hartford, CT</s2><s3>USA</s3><sZ>1 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Connecticut</region></placeName></affiliation></author><author><name sortKey="Almohri, Hossain" sort="Almohri, Hossain" uniqKey="Almohri H" first="Hossain" last="Almohri">Hossain Almohri</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Engineering, Kuwait University</s1><s3>KWT</s3><sZ>2 aut.</sZ></inist:fA14><country>Koweït</country><wicri:noRegion>College of Engineering, Kuwait University</wicri:noRegion></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Arabic</term><term>Character recognition</term><term>Feature extraction</term><term>Fuzzy neural nets</term><term>Neural network</term><term>News</term><term>Optical character recognition</term><term>Pattern extraction</term><term>Pattern recognition</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance caractère</term><term>Reconnaissance optique caractère</term><term>Reconnaissance forme</term><term>Arabe</term><term>Actualités</term><term>Extraction caractéristique</term><term>Extraction forme</term><term>Réseau neuronal</term><term>.</term><term>Réseau neuronal flou</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Optical Character Recognition (OCR) is an area of research that has attracted the interest of researchers for the past forty years. Although the subject has been the center topic for many researchers for years, it remains one of the most challenging and exciting areas in pattern recognition. Since Arabic is one of the most widely used languages in the world, the demand for a robust OCR for this language could be commercially valuable. In this research, a noble and efficient recognition algorithm for recognizing the Arabic characters is proposed. This algorithm is based on feature extraction and using a Fuzzy ART Neural Network. A recognition rate of 95% is reported.</div></front></TEI><affiliations><list><country><li>Koweït</li><li>États-Unis</li></country><region><li>Connecticut</li></region></list><tree><country name="États-Unis"><region name="Connecticut"><name sortKey="Almohri, Haidar" sort="Almohri, Haidar" uniqKey="Almohri H" first="Haidar" last="Almohri">Haidar Almohri</name></region></country><country name="Koweït"><noRegion><name sortKey="Almohri, Hossain" sort="Almohri, Hossain" uniqKey="Almohri H" first="Hossain" last="Almohri">Hossain Almohri</name></noRegion></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 000796 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000796 | 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:12-0306500
|texte= An Efficient Recognition Method for Arabic OCR
}}
| This area was generated with Dilib version V0.6.32. |  |