TDARS, a Fusion Based AR System for Machine Readable Travel Documents
Identifieur interne : 001921 ( Istex/Corpus ); précédent : 001920; suivant : 001922TDARS, a Fusion Based AR System for Machine Readable Travel Documents
Auteurs : Yu Wu ; Ling Xue ; Chao Li ; Zhang XiongSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: A fuzzy set-based AR (Automatic Recognition) system named TDARS for machine readable travel documents (MRTDs) is designed and implemented for speeding up customs clearance. The system consists of three parts: text feature extraction, facial feature extraction and identity matching. Text feature extraction takes charge of locating machine readable zone (MRZ) and extracts text features automatically. Facial feature extraction focuses on locating the front face photo (FFP) in the MRTD and extracting the facial features of the MRTD possessor. Identity matching compares text and facial features with feature data in the Terrorist Database (TDB) respectively and fuses the matching results of text and facial features in the decision-making level using a fuzzy set based algorithm. Experimental results show that both the correct acceptance and refusal rates of the TDARS are over 90%, which evidently exceed those of the existing recognition systems that extract text features solely.
Url:
DOI: 10.1007/978-3-540-73354-6_123
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China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: licc@buaa.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Xiong, Zhang" sort="Xiong, Zhang" uniqKey="Xiong Z" first="Zhang" last="Xiong">Zhang Xiong</name><affiliation><mods:affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: xiongz@buaa.edu.cn</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">40C5D944A326F7C17C598D84A00547FB93E3014C</idno><idno type="DOI">10.1007/978-3-540-73354-6_123</idno><idno type="ChapterID">123</idno><idno type="ChapterID">Chap123</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: A fuzzy set-based AR (Automatic Recognition) system named TDARS for machine readable travel documents (MRTDs) is designed and implemented for speeding up customs clearance. The system consists of three parts: text feature extraction, facial feature extraction and identity matching. Text feature extraction takes charge of locating machine readable zone (MRZ) and extracts text features automatically. Facial feature extraction focuses on locating the front face photo (FFP) in the MRTD and extracting the facial features of the MRTD possessor. Identity matching compares text and facial features with feature data in the Terrorist Database (TDB) respectively and fuses the matching results of text and facial features in the decision-making level using a fuzzy set based algorithm. Experimental results show that both the correct acceptance and refusal rates of the TDARS are over 90%, which evidently exceed those of the existing recognition systems that extract text features solely.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Yu Wu</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</json:string><json:string>E-mail: wuyu@cse.buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Ling Xue</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</json:string><json:string>E-mail: xueling@cse.buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Chao Li</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</json:string><json:string>E-mail: licc@buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Zhang Xiong</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</json:string><json:string>E-mail: xiongz@buaa.edu.cn</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: A fuzzy set-based AR (Automatic Recognition) system named TDARS for machine readable travel documents (MRTDs) is designed and implemented for speeding up customs clearance. The system consists of three parts: text feature extraction, facial feature extraction and identity matching. Text feature extraction takes charge of locating machine readable zone (MRZ) and extracts text features automatically. Facial feature extraction focuses on locating the front face photo (FFP) in the MRTD and extracting the facial features of the MRTD possessor. Identity matching compares text and facial features with feature data in the Terrorist Database (TDB) respectively and fuses the matching results of text and facial features in the decision-making level using a fuzzy set based algorithm. 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The system consists of three parts: text feature extraction, facial feature extraction and identity matching. Text feature extraction takes charge of locating machine readable zone (MRZ) and extracts text features automatically. Facial feature extraction focuses on locating the front face photo (FFP) in the MRTD and extracting the facial features of the MRTD possessor. Identity matching compares text and facial features with feature data in the Terrorist Database (TDB) respectively and fuses the matching results of text and facial features in the decision-making level using a fuzzy set based algorithm. Experimental results show that both the correct acceptance and refusal rates of the TDARS are over 90%, which evidently exceed those of the existing recognition systems that extract text features solely.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I18067</label><label>I18040</label><label>I18059</label><label>I18030</label><label>I18032</label><label>I13022</label><item><term>Computer Science</term></item><item><term>User Interfaces and Human Computer Interaction</term></item><item><term>Information Systems Applications (incl.Internet)</term></item><item><term>Multimedia Information Systems</term></item><item><term>Data Mining and Knowledge Discovery</term></item><item><term>Information Storage and Retrieval</term></item><item><term>Computer Communication Networks</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2007">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-3-20">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><original>false</original><mimetype>text/plain</mimetype><extension>txt</extension><uri>https://api.istex.fr/document/40C5D944A326F7C17C598D84A00547FB93E3014C/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Springer, Publisher found" wicri:toSee="no header"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//Springer-Verlag//DTD A++ V2.4//EN" URI="http://devel.springer.de/A++/V2.4/DTD/A++V2.4.dtd" name="istex:docType"></istex:docType><istex:document><Publisher><PublisherInfo><PublisherName>Springer Berlin Heidelberg</PublisherName><PublisherLocation>Berlin, Heidelberg</PublisherLocation></PublisherInfo><Series><SeriesInfo SeriesType="Series" TocLevels="0"><SeriesID>558</SeriesID><SeriesPrintISSN>0302-9743</SeriesPrintISSN><SeriesElectronicISSN>1611-3349</SeriesElectronicISSN><SeriesTitle Language="En">Lecture Notes in Computer Science</SeriesTitle></SeriesInfo><SeriesHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Hutchison</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Takeo</GivenName><FamilyName>Kanade</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Josef</GivenName><FamilyName>Kittler</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Jon</GivenName><GivenName>M.</GivenName><FamilyName>Kleinberg</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Friedemann</GivenName><FamilyName>Mattern</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>John</GivenName><GivenName>C.</GivenName><FamilyName>Mitchell</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Moni</GivenName><FamilyName>Naor</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Oscar</GivenName><FamilyName>Nierstrasz</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>C.</GivenName><FamilyName>Pandu Rangan</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Bernhard</GivenName><FamilyName>Steffen</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Madhu</GivenName><FamilyName>Sudan</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Demetri</GivenName><FamilyName>Terzopoulos</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Doug</GivenName><FamilyName>Tygar</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Moshe</GivenName><GivenName>Y.</GivenName><FamilyName>Vardi</FamilyName></EditorName></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-540-73354-6</BookID><BookTitle>Human Interface and the Management of Information. Interacting in Information Environments</BookTitle><BookSubTitle>Symposium on Human Interface 2007, Held as Part of HCI International 2007, Beijing, China, July 22-27, 2007, Proceedings, Part II</BookSubTitle><BookVolumeNumber>4558</BookVolumeNumber><BookSequenceNumber>4558</BookSequenceNumber><BookDOI>10.1007/978-3-540-73354-6</BookDOI><BookTitleID>150801</BookTitleID><BookPrintISBN>978-3-540-73353-9</BookPrintISBN><BookElectronicISBN>978-3-540-73354-6</BookElectronicISBN><BookChapterCount>125</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18067" Priority="1" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I18040" Priority="2" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18059" Priority="3" Type="Secondary">Multimedia Information Systems</BookSubject><BookSubject Code="I18030" Priority="4" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18032" Priority="5" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I13022" Priority="6" Type="Secondary">Computer Communication Networks</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup></BookInfo><BookHeader><EditorGroup><Editor><EditorName DisplayOrder="Western"><GivenName>Michael</GivenName><GivenName>J.</GivenName><FamilyName>Smith</FamilyName></EditorName><Contact><Email>mjsmith@engr.wisc.edu</Email></Contact></Editor><Editor><EditorName DisplayOrder="Western"><GivenName>Gavriel</GivenName><FamilyName>Salvendy</FamilyName></EditorName><Contact><Email>salvendy@purdue.edu</Email></Contact></Editor></EditorGroup></BookHeader><Part ID="Part6"><PartInfo TocLevels="0"><PartID>6</PartID><PartSequenceNumber>6</PartSequenceNumber><PartTitle>Part VI: Environment, Transportation and Safety</PartTitle><PartChapterCount>16</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Human Interface and the Management of Information</BookTitle></PartContext></PartInfo><Chapter ID="Chap123" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>123</ChapterID><ChapterDOI>10.1007/978-3-540-73354-6_123</ChapterDOI><ChapterSequenceNumber>123</ChapterSequenceNumber><ChapterTitle Language="En">TDARS, a Fusion Based AR System for Machine Readable Travel Documents</ChapterTitle><ChapterFirstPage>1129</ChapterFirstPage><ChapterLastPage>1138</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2007</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>6</PartID><BookID>978-3-540-73354-6</BookID><BookTitle>Human Interface and the Management of Information</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Yu</GivenName><FamilyName>Wu</FamilyName></AuthorName><Contact><Email>wuyu@cse.buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Ling</GivenName><FamilyName>Xue</FamilyName></AuthorName><Contact><Email>xueling@cse.buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Chao</GivenName><FamilyName>Li</FamilyName></AuthorName><Contact><Email>licc@buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Zhang</GivenName><FamilyName>Xiong</FamilyName></AuthorName><Contact><Email>xiongz@buaa.edu.cn</Email></Contact></Author><Affiliation ID="Aff1"><OrgName>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing</OrgName><OrgAddress><Country>P.R. China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>A fuzzy set-based AR (Automatic Recognition) system named TDARS for machine readable travel documents (MRTDs) is designed and implemented for speeding up customs clearance. The system consists of three parts: text feature extraction, facial feature extraction and identity matching. Text feature extraction takes charge of locating machine readable zone (MRZ) and extracts text features automatically. Facial feature extraction focuses on locating the front face photo (FFP) in the MRTD and extracting the facial features of the MRTD possessor. Identity matching compares text and facial features with feature data in the Terrorist Database (TDB) respectively and fuses the matching results of text and facial features in the decision-making level using a fuzzy set based algorithm. Experimental results show that both the correct acceptance and refusal rates of the TDARS are over 90%, which evidently exceed those of the existing recognition systems that extract text features solely.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>information fusion</Keyword><Keyword>fuzzy integration</Keyword><Keyword>character recognition</Keyword><Keyword>face recognition</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>TDARS, a Fusion Based AR System for Machine Readable Travel Documents</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>TDARS, a Fusion Based AR System for Machine Readable Travel Documents</title></titleInfo><name type="personal"><namePart type="given">Yu</namePart><namePart type="family">Wu</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</affiliation><affiliation>E-mail: wuyu@cse.buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Ling</namePart><namePart type="family">Xue</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</affiliation><affiliation>E-mail: xueling@cse.buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chao</namePart><namePart type="family">Li</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</affiliation><affiliation>E-mail: licc@buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Zhang</namePart><namePart type="family">Xiong</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R. China</affiliation><affiliation>E-mail: xiongz@buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: A fuzzy set-based AR (Automatic Recognition) system named TDARS for machine readable travel documents (MRTDs) is designed and implemented for speeding up customs clearance. The system consists of three parts: text feature extraction, facial feature extraction and identity matching. Text feature extraction takes charge of locating machine readable zone (MRZ) and extracts text features automatically. Facial feature extraction focuses on locating the front face photo (FFP) in the MRTD and extracting the facial features of the MRTD possessor. Identity matching compares text and facial features with feature data in the Terrorist Database (TDB) respectively and fuses the matching results of text and facial features in the decision-making level using a fuzzy set based algorithm. Experimental results show that both the correct acceptance and refusal rates of the TDARS are over 90%, which evidently exceed those of the existing recognition systems that extract text features solely.</abstract><relatedItem type="host"><titleInfo><title>Human Interface and the Management of Information. 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