Image analysis – Image segmentation
Reexamination Certificate
2005-02-01
2005-02-01
Kazimi, Hani M. (Department: 3624)
Image analysis
Image segmentation
C705S030000, C705S038000
Reexamination Certificate
active
06850643
ABSTRACT:
Methods and Apparatus for monitoring collateral risk are described. In one embodiment, the method includes monitoring, for example, accounts receivable, accounts payable, inventory, trading partners, chart of accounts, invoices, and/or payments of a client using a process management and workflow system coupled to a data repository. Specifically, and in an exemplary embodiment, the method includes receiving financial information, extracting data from the financial information, evaluating current collateral information based on the data, and evaluating current credit status.
REFERENCES:
patent: 5025138 (1991-06-01), Cuervo
patent: 5189608 (1993-02-01), Lyons et al.
patent: 5323315 (1994-06-01), Highbloom
patent: 5359673 (1994-10-01), de La Beaujardiere
patent: 5629846 (1997-05-01), Crapo
patent: 5644725 (1997-07-01), Schmerer
patent: 5724523 (1998-03-01), Longfield
patent: 6018721 (2000-01-01), Aziz et al.
patent: 6298357 (2001-10-01), Wexler et al.
patent: 6311169 (2001-10-01), Duhon
K. D. Larson and William W Pyle, Fundamental Accounting Principles, Irwin, 1987, pp. 289-296.*
Ullman J., Introduction to Autoamat Theory, Languages, and Computation, Addison Wesley, 1979, pp. 28-35.
Dixon, III Walter V.
Pengue Daniel R.
Persico James R.
Sanicola Steven
Simmons Melvin K.
Armstrong Teasdale LLP
GE Capital Commercial Finance, Inc.
Kazimi Hani M.
Kyle Charles R
LandOfFree
Methods and apparatus for collateral risk monitoring does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods and apparatus for collateral risk monitoring, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods and apparatus for collateral risk monitoring will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3468304