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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/R29Bu
Repositorysid.inpe.br/sibgrapi@80/2007/08.01.20.23
Last Update2007:08.01.20.23.20 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/08.01.20.23.21
Metadata Last Update2022:06.14.00.13.37 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.9
Citation KeyHofer:2007:HuIdBa
TitleDental Biometrics: Human Identification Based On Dental Work Information
FormatPrinted, On-line.
Year2007
Access Date2024, Apr. 24
Number of Files1
Size525 KiB
2. Context
AuthorHofer, Michael
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2007-08-01 20:23:21 :: m0399homi@fh-kaernten.at -> administrator ::
2007-08-02 21:17:50 :: administrator -> m0399homi@fh-kaernten.at ::
2008-07-17 14:09:43 :: m0399homi@fh-kaernten.at -> administrator ::
2009-08-13 20:38:29 :: administrator -> banon ::
2010-08-28 20:02:29 :: banon -> administrator ::
2022-06-14 00:13:37 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsdental biometrics
biometrics
forensic odontology
dental radiograph
snake
AbstractDental biometrics is used in forensic dentistry to identify or verify persons based on their dental radiographs. This paper presents a method for human identification based on dental work information. The proposed method works with three main processing steps: segmentation (feature extraction), creation of a dental code, and matching. In the segmentation step, seed points of the dental works are detected by thresholding. The final segmentation is obtained with a snake (active contour) algorithm. The dental code is defined from the position (upper or lower), the size of the dental works, and distance between neighboring dental works. The matching stage is performed with the Edit distance (Levenshtein distance). The costs for the insertion, deletion and substitution operations were adapted to make the matching algorithm more sensitive. The method was tested on a database including 68 dental radiographs and the results are encouraging.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Dental Biometrics: Human...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Dental Biometrics: Human...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/R29Bu
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/R29Bu
Languageen
Target FileHofer-DentalBiometrics.pdf
User Groupm0399homi@fh-kaernten.at
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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