Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Repository | sid.inpe.br/sibgrapi@80/2007/08.01.20.23 |
Last Update | 2007:08.01.20.23.20 administrator |
Metadata | sid.inpe.br/sibgrapi@80/2007/08.01.20.23.21 |
Metadata Last Update | 2020:02.19.03.06.19 administrator |
Citation Key | Hofer:2007:HuIdBa |
Title | Dental Biometrics: Human Identification Based On Dental Work Information  |
Format | Printed, On-line. |
Year | 2007 |
Date | Oct. 7-10, 2007 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 525 KiB |
Context area | |
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 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 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 :: 2020-02-19 03:06:19 :: administrator -> :: 2007 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
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. |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
Conditions of access and use area | |
data URL | http://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/08.01.20.23 |
zipped data URL | http://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/08.01.20.23 |
Language | en |
Target File | Hofer-DentalBiometrics.pdf |
User Group | m0399homi@fh-kaernten.at administrator |
Visibility | shown |
Allied materials area | |
Mirror Repository | dpi.inpe.br/banon-pc2@80/2006/08.30.19.27 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber affiliation archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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