1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZG2LgkFdY/R29Bu |
Repository | sid.inpe.br/sibgrapi@80/2007/08.01.20.23 |
Last Update | 2007:08.01.20.23.20 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2007/08.01.20.23.21 |
Metadata Last Update | 2022:06.14.00.13.37 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2007.9 |
Citation Key | Hofer:2007:HuIdBa |
Title | Dental Biometrics: Human Identification Based On Dental Work Information |
Format | Printed, On-line. |
Year | 2007 |
Access Date | 2024, Sep. 17 |
Number of Files | 1 |
Size | 525 KiB |
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2. Context | |
Author | Hofer, Michael |
Editor | Falcão, Alexandre Xavier Lopes, Hélio Côrtes Vieira |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI) |
Conference Location | Belo Horizonte, MG, Brazil |
Date | 7-10 Oct. 2007 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | dental biometrics biometrics forensic odontology dental radiograph snake |
Abstract | Dental 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Dental Biometrics: Human... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Dental Biometrics: Human... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/R29Bu |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/R29Bu |
Language | en |
Target File | Hofer-DentalBiometrics.pdf |
User Group | m0399homi@fh-kaernten.at administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SF8Q5 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.00.14 25 sid.inpe.br/sibgrapi/2022/06.10.21.49 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | affiliation 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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