Currency validation

Details Currency validation Currency validation

2004-05-21

2009-12-29

Werner, Brian P (Department: 2624)

Image analysis

Applications

Reading paper currency

C382S209000, C382S224000, C356S071000

Reexamination Certificate

active

07639858

ABSTRACT:
A method for developing a template of a reference document, such as a bank note and using that template to validate other test documents. The method involves using images of a plurality of reference documents, such as banknotes and segmenting each image in a like manner into a plurality of segments. Each segment is then classified using a one-class classifier to determine a reference classification parameter. These parameters are used to define a threshold reference classification parameter. Optionally, the step of segmenting is optimized to determine a preferred number of segments, and a preferred combination of these for use in a subsequent validation process. Preferably, this is done using a stochastic algorithm such as a genetic algorithm.

REFERENCES:
patent: 4041456 (1977-08-01), Ott et al.
patent: 5633949 (1997-05-01), Graves et al.
patent: 5729623 (1998-03-01), Omatu et al.
patent: 6247573 (2001-06-01), Itako et al.
patent: 6453061 (2002-09-01), Neri et al.
patent: 6474548 (2002-11-01), Montross et al.
patent: 6539104 (2003-03-01), Raterman et al.
patent: 6798900 (2004-09-01), Sugata
patent: 2001/0043140 (2001-11-01), Ross
patent: 2002/0044677 (2002-04-01), Fox
patent: 1 246 164 (2002-10-01), None
patent: 2 062 854 (1981-05-01), None
patent: 2 361 765 (2001-10-01), None
Carson et al., “Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying”, Aug. 2002, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, No. 8, 1026-1038.
He et al.,“Employing optimized combinations of one-class classifiers for automated currency validation”,Pattern Recognition,Elsevier,Kidlington,GB,vol. 37,No. 6,Apr. 9, 2004,pp. 1085-1096, ′Online!Jun. 27, 2003,pp. 1-33,retrieved from Internet:URL:http://cis.paisley.ac.uk/ research/reports/he—ic0/publication/NCR—PRL2003.pdf>,'retrieved Aug. 17, 2005!.
Tax et al., “Support vector domain description”, Pattern Recognition Letters, North-Holland Publ. Amsterdam, NL. vol. 20, No. 11-13, Nov. 1999, pp. 1191-1199.
Buxton et al., “Data Fusion by Intelligent Classifier Combination”, Measurement and Control, ′Online! vol. 34, No. 8, Oct. 2001, pp. 229-234, retrieved from Internet: URL:http://www.cs.ucl.ac.uk/staff/W.Langdon/mc/>, 'retrieved Aug. 22, 2005!.
Manevitz et al., “One-Class SVMs for Document Classification”, Journal of Machine Learning Research, vol. 2, Dec. 2001, pp. 139-154.

Affiliated with

Also associated with

Rating

Currency validation does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Currency validation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Currency validation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-4132657