@InProceedings{Hofer:2007:HuIdBa,
               author = "Hofer, Michael",
                title = "Dental Biometrics: Human Identification Based On Dental Work 
                         Information",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             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.",
  conference-location = "Belo Horizonte, MG, Brazil",
      conference-year = "7-10 Oct. 2007",
                  doi = "10.1109/SIBGRAPI.2007.9",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.9",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/R29Bu",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/R29Bu",
           targetfile = "Hofer-DentalBiometrics.pdf",
        urlaccessdate = "2024, Dec. 02"
}