Character Segmentation for License Plate Recognition by K-Means Algorithm
Identifieur interne : 000499 ( Main/Exploration ); précédent : 000498; suivant : 000500Character Segmentation for License Plate Recognition by K-Means Algorithm
Auteurs : Lihong Zheng [Australie] ; Xiangjian He [Australie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: In this paper an improved K-means algorithm is presented to cut character out of the license plate images. Although there are many existing commercial LPR systems, with poor illumination conditions and moving vehicle the accuracy impaired. After examination and comparison of different image segmentation approaches, the K-means algorithm based method gave better image segmentation results. The K-means algorithm was modified by introducing automatic cluster number determination by filtering SIFT key points. After modification it efficiently detects the local maxima that represent different clusters in the image. The process is successful by getting a clean license plate image. While testing by the OCR software, the experimental results show a high accuracy of image segmentation and significantly higher recognition rate. The recognition rate increased from about 86.6% before our proposed process to about 94.03% after all unwanted non-character areas are removed. Hence, the overall recognition accuracy of LPR was improved.
Url:
DOI: 10.1007/978-3-642-24088-1_46
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000388
- to stream Istex, to step Curation: 000382
- to stream Istex, to step Checkpoint: 000156
- to stream Main, to step Merge: 000505
- to stream Main, to step Curation: 000499
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Character Segmentation for License Plate Recognition by K-Means Algorithm</title>
<author><name sortKey="Zheng, Lihong" sort="Zheng, Lihong" uniqKey="Zheng L" first="Lihong" last="Zheng">Lihong Zheng</name>
</author>
<author><name sortKey="He, Xiangjian" sort="He, Xiangjian" uniqKey="He X" first="Xiangjian" last="He">Xiangjian He</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:E2BAEF6231F67448C79B09FC8EC78A0BB6DA6FDA</idno>
<date when="2011" year="2011">2011</date>
<idno type="doi">10.1007/978-3-642-24088-1_46</idno>
<idno type="url">https://api.istex.fr/document/E2BAEF6231F67448C79B09FC8EC78A0BB6DA6FDA/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">000388</idno>
<idno type="wicri:Area/Istex/Curation">000382</idno>
<idno type="wicri:Area/Istex/Checkpoint">000156</idno>
<idno type="wicri:doubleKey">0302-9743:2011:Zheng L:character:segmentation:for</idno>
<idno type="wicri:Area/Main/Merge">000505</idno>
<idno type="wicri:Area/Main/Curation">000499</idno>
<idno type="wicri:Area/Main/Exploration">000499</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Character Segmentation for License Plate Recognition by K-Means Algorithm</title>
<author><name sortKey="Zheng, Lihong" sort="Zheng, Lihong" uniqKey="Zheng L" first="Lihong" last="Zheng">Lihong Zheng</name>
<affiliation wicri:level="1"><country xml:lang="fr">Australie</country>
<wicri:regionArea>School of Computing and Maths, Charles Sturt University</wicri:regionArea>
<wicri:noRegion>Charles Sturt University</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Australie</country>
</affiliation>
</author>
<author><name sortKey="He, Xiangjian" sort="He, Xiangjian" uniqKey="He X" first="Xiangjian" last="He">Xiangjian He</name>
<affiliation wicri:level="3"><country xml:lang="fr">Australie</country>
<wicri:regionArea>Faculty of E&IT, University of Technology, Sydney</wicri:regionArea>
<placeName><settlement type="city">Sydney</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Australie</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>2011</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">E2BAEF6231F67448C79B09FC8EC78A0BB6DA6FDA</idno>
<idno type="DOI">10.1007/978-3-642-24088-1_46</idno>
<idno type="ChapterID">46</idno>
<idno type="ChapterID">Chap46</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: In this paper an improved K-means algorithm is presented to cut character out of the license plate images. Although there are many existing commercial LPR systems, with poor illumination conditions and moving vehicle the accuracy impaired. After examination and comparison of different image segmentation approaches, the K-means algorithm based method gave better image segmentation results. The K-means algorithm was modified by introducing automatic cluster number determination by filtering SIFT key points. After modification it efficiently detects the local maxima that represent different clusters in the image. The process is successful by getting a clean license plate image. While testing by the OCR software, the experimental results show a high accuracy of image segmentation and significantly higher recognition rate. The recognition rate increased from about 86.6% before our proposed process to about 94.03% after all unwanted non-character areas are removed. Hence, the overall recognition accuracy of LPR was improved.</div>
</front>
</TEI>
<affiliations><list><country><li>Australie</li>
</country>
<settlement><li>Sydney</li>
</settlement>
</list>
<tree><country name="Australie"><noRegion><name sortKey="Zheng, Lihong" sort="Zheng, Lihong" uniqKey="Zheng L" first="Lihong" last="Zheng">Lihong Zheng</name>
</noRegion>
<name sortKey="He, Xiangjian" sort="He, Xiangjian" uniqKey="He X" first="Xiangjian" last="He">Xiangjian He</name>
<name sortKey="He, Xiangjian" sort="He, Xiangjian" uniqKey="He X" first="Xiangjian" last="He">Xiangjian He</name>
<name sortKey="Zheng, Lihong" sort="Zheng, Lihong" uniqKey="Zheng L" first="Lihong" last="Zheng">Lihong Zheng</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 000499 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000499 | 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:E2BAEF6231F67448C79B09FC8EC78A0BB6DA6FDA |texte= Character Segmentation for License Plate Recognition by K-Means Algorithm }}
This area was generated with Dilib version V0.6.32. |