Image analysis – Applications – Personnel identification
Reexamination Certificate
2007-02-06
2007-02-06
Mancuso, Joseph (Department: 2624)
Image analysis
Applications
Personnel identification
Reexamination Certificate
active
10303843
ABSTRACT:
A highly accurate identification system is built by using an identification module, which has predetermined values of FAR and FRR. A plurality of (m) biometrics are registered and managed. At the time of identification, a collation process is executed by using the m biometrics, and also a collation process is executed a plurality of (n) times with each biometrics. An identification result of the system is judged and outputted by combining the results of the m-biometrics collation and n-time collation trials. As conditions of judgment, when the collation is judged to be successful even once in the n-time collation trial, the collation is judged to be successful with respect to that biometrics. In the in-biometrics collation trial, when the collation is judged to be successful with respect to all the m biometrics, a judgment of identification success is given in the system as a whole.
REFERENCES:
patent: 6229906 (2001-05-01), Pu et al.
patent: 6259805 (2001-07-01), Freedman et al.
patent: 6463165 (2002-10-01), Ito
patent: 6795569 (2004-09-01), Setlak
patent: 6826533 (2004-11-01), Burchard et al.
patent: 4-98370 (1992-03-01), None
patent: A 6-176135 (1994-06-01), None
patent: 10-154231 (1998-06-01), None
patent: 2000-011179 (2000-01-01), None
Conover Damon
Mancuso Joseph
NEC Corporation
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