Multimodal authorization method, system and device

Data processing: artificial intelligence – Neural network

Reexamination Certificate

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C382S115000, C382S116000

Reexamination Certificate

active

07440929

ABSTRACT:
The invention includes methods, systems and devices for authenticating transactions. A method may begin by enrolling at least two biometric specimens to a database. A false acceptance ratio (“FAR”) is determined for each of the specimens, and authorization options are identified. A cost value is calculated for at least one of the options to provide a calculated cost value (“CCV”). The CCV may be a function of the FAR(s) of the specimen(s) corresponding to the option. An acceptable cost value range (“ACV range”) may be identified, and compared to the CCV. If it is determined that the CCV is in the ACV range, then the option is selected. If the CCV is in the ACV range, then a set of biometric samples is provided (the “sample set”). The sample set is compared to the biometric specimens, and it is determined whether the biometric samples match the biometric specimens. If the biometric samples match the biometric specimens, then the transaction is authorized.

REFERENCES:
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patent: 2004/0068342 (2004-04-01), Bedont et al.
Osadciw et al., “Optimum Fusion Rules Formultimodal Biometric Systems”, 2004.
International Search Report for PCT/US2005/041290, Feb. 28, 2008, Ultra-Scan Corporation.
Written Opinion for PCT/US2005/041290, Feb. 28, 2008, Ultra-Scan Corporation.
Teoh, et al.; Nearest Neighbourhood Classifiers in Biometric Fusion; International Journal of The Computer, the Internet and Management, vol. 12, No. 1, Jan.-Apr. 2004; pp. 23-36.
Neyman, et al.; On the Problem of the most Efficient Tests of Statistical Hypotheses; 1933; pp. 289-337.

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