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Title: Sensor-fusion-based biometric identity verification

Abstract

Future generation automated human biometric identification and verification will require multiple features/sensors together with internal and external information sources to achieve high performance, accuracy, and reliability in uncontrolled environments. The primary objective of the proposed research is to develop a theoretical and practical basis for identifying and verifying people using standoff biometric features that can be obtained with minimal inconvenience during the verification process. The basic problem involves selecting sensors and discovering features that provide sufficient information to reliably verify a person`s identity under the uncertainties caused by measurement errors and tactics of uncooperative subjects. A system was developed for discovering hand, face, ear, and voice features and fusing them to verify the identity of people. The system obtains its robustness and reliability by fusing many coarse and easily measured features into a near minimal probability of error decision algorithm.

Authors:
; ; ; ;  [1]; ; ; ;  [2]
  1. Sandia National Labs., Albuquerque, NM (United States)
  2. New Mexico State Univ., Las Cruces, NM (United States). Electronic Vision Research Lab.
Publication Date:
Research Org.:
Sandia National Labs., Albuquerque, NM (United States)
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
573302
Report Number(s):
SAND-98-0507
ON: DE98002845; TRN: 98:009257
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: Feb 1998
Country of Publication:
United States
Language:
English
Subject:
05 NUCLEAR FUELS; IDENTIFICATION SYSTEMS; MEASURING INSTRUMENTS; RESEARCH PROGRAMS; MAN; SECURITY; ENTRY CONTROL SYSTEMS; PATTERN RECOGNITION; DATA PROCESSING; MATHEMATICS

Citation Formats

Carlson, J.J., Bouchard, A.M., Osbourn, G.C., Martinez, R.F., Bartholomew, J.W., Jordan, J.B., Flachs, G.M., Bao, Z., and Zhu, L. Sensor-fusion-based biometric identity verification. United States: N. p., 1998. Web. doi:10.2172/573302.
Carlson, J.J., Bouchard, A.M., Osbourn, G.C., Martinez, R.F., Bartholomew, J.W., Jordan, J.B., Flachs, G.M., Bao, Z., & Zhu, L. Sensor-fusion-based biometric identity verification. United States. doi:10.2172/573302.
Carlson, J.J., Bouchard, A.M., Osbourn, G.C., Martinez, R.F., Bartholomew, J.W., Jordan, J.B., Flachs, G.M., Bao, Z., and Zhu, L. Sun . "Sensor-fusion-based biometric identity verification". United States. doi:10.2172/573302. https://www.osti.gov/servlets/purl/573302.
@article{osti_573302,
title = {Sensor-fusion-based biometric identity verification},
author = {Carlson, J.J. and Bouchard, A.M. and Osbourn, G.C. and Martinez, R.F. and Bartholomew, J.W. and Jordan, J.B. and Flachs, G.M. and Bao, Z. and Zhu, L.},
abstractNote = {Future generation automated human biometric identification and verification will require multiple features/sensors together with internal and external information sources to achieve high performance, accuracy, and reliability in uncontrolled environments. The primary objective of the proposed research is to develop a theoretical and practical basis for identifying and verifying people using standoff biometric features that can be obtained with minimal inconvenience during the verification process. The basic problem involves selecting sensors and discovering features that provide sufficient information to reliably verify a person`s identity under the uncertainties caused by measurement errors and tactics of uncooperative subjects. A system was developed for discovering hand, face, ear, and voice features and fusing them to verify the identity of people. The system obtains its robustness and reliability by fusing many coarse and easily measured features into a near minimal probability of error decision algorithm.},
doi = {10.2172/573302},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {2}
}