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  • 标题:A STATE OF ART AUTOMATED DENTAL IDENTIFICATION SYSTEM (ADIS)
  • 本地全文:下载
  • 作者:SURENDRA RAMTEKE, RAHUL PATIL, NILIMA PATIL
  • 期刊名称:Advances in Computational Research
  • 印刷版ISSN:0975-3273
  • 电子版ISSN:0975-9085
  • 出版年度:2012
  • 期号:492
  • 页码:95-98
  • 出版社:Bioinfo Publications
  • 摘要:This paper address review of new methodologies for postmortem Identification Using dental records that means the Automated Dental Identification System (ADIS) can be used by Law enforcement agencies to locate missing persons also to identify Victims in Mass disasters (e.g. earthquakes, Tsunami, airplane Crash etc.) Using databases of dental X-rays. In PM identification, forensic odontologists rely mainly on dental radiographs, among other types of records (e.g., oral photographs, denture models, and CAT scans) to compare the morphology of dental restorations of unidentified individuals to choose those of candidates in the missing persons file. This paper reviews the new methods & techniques in which Identification is carried out by Comparing post Mortem (PM) images with Ante mortem (AM) dental records of missing people to find similar records.
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