Data processing: artificial intelligence – Neural network
Reexamination Certificate
2007-10-23
2007-10-23
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Neural network
C382S224000, C382S228000
Reexamination Certificate
active
11273824
ABSTRACT:
The present invention includes a method of deciding whether a data set is acceptable for making a decision. A first probability partition array and a second probability partition array may be provided. A no-match zone may be established and used to calculate a false-acceptance-rate (“FAR”) and/or a false-rejection-rate (“FRR”) for the data set. The FAR and/or the FAR may be compared to desired rates. Based on the comparison, the data set may be either accepted or rejected. The invention may also be embodied as a computer readable memory device for executing the methods.
REFERENCES:
patent: 2003/0031348 (2003-02-01), Kuepper et al.
patent: 2005/0238207 (2005-10-01), Tavares
Osadciw et al., “Optimum Fusion Rules Formultimodal Biometric Systems”, 2004.
Teoh et al., “Nearest Neighbourhood Classifiers in Biometric Fusion”, 2004.
Neyman et al., “On the Problem of the most Efficient Test of Statistical Hypotheses”, 1933.
Prabhakar, et al., Decision-level Fusion in Biometric Verification, Department of Computer Science and Engineering, Michigan State University, pp. 1-34.
Neyman, et al., On the Problem of the most Efficient Tests of Statistical Hypotheses, vol. CCXXXI.-A, 702, pp. 289-337.
Lindgren, Statistical Theory Third Edition, Ch. 6—Testing Hypotheses, pp. 276-324.
Maltoni, et al., Handbook of Fingerprint Recognition, Springer Professional Computing, Ch. 7—Multimodal Biometric Systems, pp. 233-255.
Duda, et al., Pattern Classification Second Edition, Ch. 2—Bayesian Decision Theory, Ch. 3—Maximum-Likelihood And Bayesian Parameter Estimation, first page of Ch. 4—Nonparametric Techniques, pp. 20-161.
Baker James T.
Kiefer Fred W.
Schneider John K.
Brown, Jr. Nathan H.
Hodgson & Russ LLP
Knight Anthony
Ultra-Scan Corporation
LandOfFree
Multimodal fusion decision logic system does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Multimodal fusion decision logic system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multimodal fusion decision logic system will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3864269