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Personal Identification Using the Frontal Sinus *
Author(s) -
Besana Joanna L.,
Rogers Tracy L.
Publication year - 2010
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/j.1556-4029.2009.01281.x
Subject(s) - trait , superimposition , identification (biology) , matching (statistics) , metric (unit) , statistical power , frontal sinus , psychology , artificial intelligence , pattern recognition (psychology) , computer science , cognitive psychology , machine learning , mathematics , statistics , biology , anatomy , engineering , botany , operations management , programming language
The frontal sinuses are known to be unique to each individual; however, no one has tested the independence of the frontal sinus traits to see if probability analysis through trait combination is a viable method of identifying an individual using the frontal sinuses. This research examines the feasibility of probability trait combination, based on criteria recommended in the literature, and examines two other methods of identification using the frontal sinuses: discrete trait combinations and superimposition pattern matching. This research finds that most sinus traits are dependent upon one another and thus cannot be used in probability combinations. When looking at traits that are independent, this research finds that metric methods are too fraught with potential errors to be useful. Discrete trait combinations do not have a high enough discriminating power to be useful. Only superimposition pattern matching is an effective method of identifying an individual using the frontal sinuses.