The Research of High Noise Image's Restoration and Recognition of Train's Plates
The paper presents a new system for recognizing train license plates. The system mostly researches contourlet transform for restoring and denoising images of train plates by high-speed camera. It can finish recognizing the images of train license plates under complex environment. This paper analyses...
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| creator | Xiangang Jiang Dean Ma Longfeng Tao |
| description | The paper presents a new system for recognizing train license plates. The system mostly researches contourlet transform for restoring and denoising images of train plates by high-speed camera. It can finish recognizing the images of train license plates under complex environment. This paper analyses four restoration methods of the license images and compares them in recognition rate in different classification ways. |
| doi_str_mv | 10.1109/IITSI.2010.172 |
| format | Conference Proceeding |
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The system mostly researches contourlet transform for restoring and denoising images of train plates by high-speed camera. It can finish recognizing the images of train license plates under complex environment. This paper analyses four restoration methods of the license images and compares them in recognition rate in different classification ways.</description><identifier>ISBN: 9781424467303</identifier><identifier>ISBN: 1424467306</identifier><identifier>EISBN: 9781424467433</identifier><identifier>EISBN: 1424467438</identifier><identifier>DOI: 10.1109/IITSI.2010.172</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cameras ; Contourlet transform ; Filtering algorithms ; Flowcharts ; image of train license plate ; Image recognition ; Image restoration ; license recognition ; Licenses ; Monitoring ; Rail transportation ; Wavelet transforms ; Wiener filter</subject><ispartof>2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010, p.150-153</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5453629$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5453629$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiangang Jiang</creatorcontrib><creatorcontrib>Dean Ma</creatorcontrib><creatorcontrib>Longfeng Tao</creatorcontrib><title>The Research of High Noise Image's Restoration and Recognition of Train's Plates</title><title>2010 Third International Symposium on Intelligent Information Technology and Security Informatics</title><addtitle>IITSI</addtitle><description>The paper presents a new system for recognizing train license plates. The system mostly researches contourlet transform for restoring and denoising images of train plates by high-speed camera. It can finish recognizing the images of train license plates under complex environment. This paper analyses four restoration methods of the license images and compares them in recognition rate in different classification ways.</description><subject>Cameras</subject><subject>Contourlet transform</subject><subject>Filtering algorithms</subject><subject>Flowcharts</subject><subject>image of train license plate</subject><subject>Image recognition</subject><subject>Image restoration</subject><subject>license recognition</subject><subject>Licenses</subject><subject>Monitoring</subject><subject>Rail transportation</subject><subject>Wavelet transforms</subject><subject>Wiener filter</subject><isbn>9781424467303</isbn><isbn>1424467306</isbn><isbn>9781424467433</isbn><isbn>1424467438</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNjD1PwzAQho0QEqhkZWHJxpRin7_iEVVAI1VQQZirc3NNjNoExVn497iFgVtOz_PevYzdCD4Xgrv7qqrfqznwI1s4Y5mzpVCglLFKyvP_LLm8ZFmMnzyN0qK08oqt647yN4qE47bLh12-DG2XvwwhUl4dsKW7eIynYcQpDH2OfZN4O7R9OHH6qEcMfTpb73GieM0udriPlP3tGft4eqwXy2L1-lwtHlZFEFZPRUNeag5kjKcSEKxyqBpSzjoojffCCCt8UtBonyyXAEYSGgGOwKOcsdvf3kBEm68xHHD83milpQEnfwCK9E62</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Xiangang Jiang</creator><creator>Dean Ma</creator><creator>Longfeng Tao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>The Research of High Noise Image's Restoration and Recognition of Train's Plates</title><author>Xiangang Jiang ; Dean Ma ; Longfeng Tao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-deb3502e66be82a2749a4de4979286bb16171ba4d2d5b497032263ea6129e2ba3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Cameras</topic><topic>Contourlet transform</topic><topic>Filtering algorithms</topic><topic>Flowcharts</topic><topic>image of train license plate</topic><topic>Image recognition</topic><topic>Image restoration</topic><topic>license recognition</topic><topic>Licenses</topic><topic>Monitoring</topic><topic>Rail transportation</topic><topic>Wavelet transforms</topic><topic>Wiener filter</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiangang Jiang</creatorcontrib><creatorcontrib>Dean Ma</creatorcontrib><creatorcontrib>Longfeng Tao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xiangang Jiang</au><au>Dean Ma</au><au>Longfeng Tao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The Research of High Noise Image's Restoration and Recognition of Train's Plates</atitle><btitle>2010 Third International Symposium on Intelligent Information Technology and Security Informatics</btitle><stitle>IITSI</stitle><date>2010-04</date><risdate>2010</risdate><spage>150</spage><epage>153</epage><pages>150-153</pages><isbn>9781424467303</isbn><isbn>1424467306</isbn><eisbn>9781424467433</eisbn><eisbn>1424467438</eisbn><abstract>The paper presents a new system for recognizing train license plates. The system mostly researches contourlet transform for restoring and denoising images of train plates by high-speed camera. It can finish recognizing the images of train license plates under complex environment. This paper analyses four restoration methods of the license images and compares them in recognition rate in different classification ways.</abstract><pub>IEEE</pub><doi>10.1109/IITSI.2010.172</doi><tpages>4</tpages></addata></record> |
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| identifier | ISBN: 9781424467303 |
| ispartof | 2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010, p.150-153 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cameras Contourlet transform Filtering algorithms Flowcharts image of train license plate Image recognition Image restoration license recognition Licenses Monitoring Rail transportation Wavelet transforms Wiener filter |
| title | The Research of High Noise Image's Restoration and Recognition of Train's Plates |
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