• DocumentCode
    3578919
  • Title

    Dental work extraction for different radiographic Images in human Forensic Identification

  • Author

    Jaffino, G. ; Banumathi, A. ; Gurunathan, Ulaganathan ; Prabin Jose, J.

  • Author_Institution
    Dept. of ECE, Thiagarajar Coll. of Eng., Madurai, India
  • fYear
    2014
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    Dental biometrics is used to identify the individuals in the forensic domain. Forensic identification is used to identify the person by comparing postmortem and ante mortem dental images. The dental radiograph image provides the information about teeth, tooth contours and in addition to that dental work (DW) is one of the notable issues for forensic identification. This dental work includes crown filling, root canal and crown mineralization for tooth. In this paper addresses the dental work identification for different radiographic images such as bitewing, periapical and panoramic dental images with Mahalanobis distance based matching. The proposed system contains preprocessing, feature extraction and matching. Experimental evaluation gives the satisfied results which will abet for dental biometrics.
  • Keywords
    biometrics (access control); dentistry; diagnostic radiography; feature extraction; forensic science; image matching; medical image processing; Mahalanobis distance based matching; ante mortem dental images; crown filling; crown mineralization; dental biometrics; dental radiograph image; dental work extraction; dental work identification; feature extraction; feature matching; human forensic identification; panoramic dental images; postmortem dental images; radiographic images; root canal; tooth contours; Biometrics (access control); Dentistry; Feature extraction; Forensics; Radiography; Shape; Teeth; Forensic identification; biometrics; dental photographs; dental radiographs; dental work (DW); morphological operation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication and Network Technologies (ICCNT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6265-5
  • Type

    conf

  • DOI
    10.1109/CNT.2014.7062724
  • Filename
    7062724