TY - GEN
T1 - Impact of environmental factors on biometric matching during human decomposition
AU - Bolme, David S.
AU - Tokola, Ryan A.
AU - Boehnen, Chris B.
AU - Saul, Tiffany B.
AU - Sauerwein, Kelly A.
AU - Steadman, Dawnie Wolfe
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/19
Y1 - 2016/12/19
N2 - Automatic recognition systems are valuable tools for identifying unknown deceased individuals. Immediately after death, fingerprint and face biometric samples are easy to collect using standard sensors and can be easily matched to antemortem biometric samples. Even though early postmortem fingerprints and facial images have been used for identification purposes for decades, there are no studies that track these biometrics through the later stages of decomposition to determine the length of time they remain viable. This paper discusses a multimodal dataset of finger-prints, faces, and irises from twelve donated human subjects that decomposed outdoors under natural conditions. Results include predictive models relating time and temperature, measured as Accumulated Degree Days (ADD), and season (winter, spring, summer), to the probability of automatic verification using a commercial algorithm.
AB - Automatic recognition systems are valuable tools for identifying unknown deceased individuals. Immediately after death, fingerprint and face biometric samples are easy to collect using standard sensors and can be easily matched to antemortem biometric samples. Even though early postmortem fingerprints and facial images have been used for identification purposes for decades, there are no studies that track these biometrics through the later stages of decomposition to determine the length of time they remain viable. This paper discusses a multimodal dataset of finger-prints, faces, and irises from twelve donated human subjects that decomposed outdoors under natural conditions. Results include predictive models relating time and temperature, measured as Accumulated Degree Days (ADD), and season (winter, spring, summer), to the probability of automatic verification using a commercial algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85011301827&partnerID=8YFLogxK
U2 - 10.1109/BTAS.2016.7791177
DO - 10.1109/BTAS.2016.7791177
M3 - Conference contribution
AN - SCOPUS:85011301827
T3 - 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
BT - 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
Y2 - 6 September 2016 through 9 September 2016
ER -