Mono-font Cursive Arabic Text Recognition Using Speech Recognition System
Identifieur interne : 001046 ( Main/Exploration ); précédent : 001045; suivant : 001047Mono-font Cursive Arabic Text Recognition Using Speech Recognition System
Auteurs : S. Khorsheed [Arabie saoudite]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: This paper presents a system to recognise cursive Arabic typewritten text. The system is built using the Hidden Markov Model Toolkit (HTK) which is a portable toolkit for speech recognition system. The proposed system decomposes the page into its text lines and then extracts a set of simple statistical features from small overlapped windows running through each text line. The feature vector sequence is injected to the global model for training and recognition purposes. A data corpus which includes Arabic text of more than 100 A4–size sheets typewritten in Tahoma font is used to assess the performance of the proposed system.
Url:
DOI: 10.1007/11815921_83
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002556
- to stream Istex, to step Curation: 002388
- to stream Istex, to step Checkpoint: 000A19
- to stream Main, to step Merge: 001063
- to stream Main, to step Curation: 001046
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Mono-font Cursive Arabic Text Recognition Using Speech Recognition System</title>
<author><name sortKey="Khorsheed, S" sort="Khorsheed, S" uniqKey="Khorsheed S" first="S." last="Khorsheed">S. Khorsheed</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:F8692B0217BA27940EB45F2A9547E189C802DC27</idno>
<date when="2006" year="2006">2006</date>
<idno type="doi">10.1007/11815921_83</idno>
<idno type="url">https://api.istex.fr/document/F8692B0217BA27940EB45F2A9547E189C802DC27/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002556</idno>
<idno type="wicri:Area/Istex/Curation">002388</idno>
<idno type="wicri:Area/Istex/Checkpoint">000A19</idno>
<idno type="wicri:doubleKey">0302-9743:2006:Khorsheed S:mono:font:cursive</idno>
<idno type="wicri:Area/Main/Merge">001063</idno>
<idno type="wicri:Area/Main/Curation">001046</idno>
<idno type="wicri:Area/Main/Exploration">001046</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Mono-font Cursive Arabic Text Recognition Using Speech Recognition System</title>
<author><name sortKey="Khorsheed, S" sort="Khorsheed, S" uniqKey="Khorsheed S" first="S." last="Khorsheed">S. Khorsheed</name>
<affiliation wicri:level="1"><country xml:lang="fr">Arabie saoudite</country>
<wicri:regionArea>Computer & Electronics Research Institute, King AbdulAziz City for Science and Technology (KACST), PO Box 6086, 11442, Riyadh</wicri:regionArea>
<wicri:noRegion>Riyadh</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Arabie saoudite</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>2006</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">F8692B0217BA27940EB45F2A9547E189C802DC27</idno>
<idno type="DOI">10.1007/11815921_83</idno>
<idno type="ChapterID">83</idno>
<idno type="ChapterID">Chap83</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract: This paper presents a system to recognise cursive Arabic typewritten text. The system is built using the Hidden Markov Model Toolkit (HTK) which is a portable toolkit for speech recognition system. The proposed system decomposes the page into its text lines and then extracts a set of simple statistical features from small overlapped windows running through each text line. The feature vector sequence is injected to the global model for training and recognition purposes. A data corpus which includes Arabic text of more than 100 A4–size sheets typewritten in Tahoma font is used to assess the performance of the proposed system.</div>
</front>
</TEI>
<affiliations><list><country><li>Arabie saoudite</li>
</country>
</list>
<tree><country name="Arabie saoudite"><noRegion><name sortKey="Khorsheed, S" sort="Khorsheed, S" uniqKey="Khorsheed S" first="S." last="Khorsheed">S. Khorsheed</name>
</noRegion>
<name sortKey="Khorsheed, S" sort="Khorsheed, S" uniqKey="Khorsheed S" first="S." last="Khorsheed">S. Khorsheed</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 001046 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001046 | 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= ISTEX:F8692B0217BA27940EB45F2A9547E189C802DC27 |texte= Mono-font Cursive Arabic Text Recognition Using Speech Recognition System }}
This area was generated with Dilib version V0.6.32. |