Image analysis – Applications – Personnel identification
Reexamination Certificate
2003-12-12
2009-06-09
Johns, Andrew W (Department: 2624)
Image analysis
Applications
Personnel identification
C382S138000
Reexamination Certificate
active
07545959
ABSTRACT:
Methods and systems are provided for analyzing and assessing documents using a handwriting profile for documents, such as a payment instrument. A method may include providing one or more documents to a computer system. In one embodiment, handwriting profile representations may be determined for information fields of the document. The determination may use handwriting from at least one of the information fields of the documents. In some embodiments, handwriting profile representations may be updated from one or more additional documents. In certain embodiments, a document may be provided to a computer system for assessment. Assessment may include comparing handwriting in the information fields of the document to handwriting profile representations from information fields of at least one other document. In an embodiment, the method may include assessing fraud in the document using at least one of the comparisons.
REFERENCES:
patent: 3806704 (1974-04-01), Shinal
patent: 4646351 (1987-02-01), Asbo et al.
patent: 4724542 (1988-02-01), Williford
patent: 5097517 (1992-03-01), Holt
patent: 5454046 (1995-09-01), Carman, II
patent: 5559895 (1996-09-01), Lee et al.
patent: 5680470 (1997-10-01), Moussa et al.
patent: 5710916 (1998-01-01), Barbara et al.
patent: 5745592 (1998-04-01), Nalwa
patent: 5748780 (1998-05-01), Stolfo
patent: 5757960 (1998-05-01), Murdock et al.
patent: 5828772 (1998-10-01), Kashi et al.
patent: 5909500 (1999-06-01), Moore
patent: 5995953 (1999-11-01), Rindtorff et al.
patent: 6084985 (2000-07-01), Dolfing et al.
patent: 6108444 (2000-08-01), Syeda-Mahmood
patent: 6157731 (2000-12-01), Hu et al.
patent: 6236740 (2001-05-01), Lee
patent: 6249604 (2001-06-01), Huttenlocher et al.
patent: 6307955 (2001-10-01), Zank et al.
patent: 6393138 (2002-05-01), Chai
patent: 6424728 (2002-07-01), Ammar
patent: 6464134 (2002-10-01), Page
patent: 6487310 (2002-11-01), Bishop et al.
patent: 6836555 (2004-12-01), Ericson et al.
patent: 7272259 (2007-09-01), Houle et al.
patent: 2003/0059098 (2003-03-01), Jones et al.
patent: 2004/0223637 (2004-11-01), Houle et al.
patent: 2004/0228513 (2004-11-01), Houle et al.
patent: 2004/0228514 (2004-11-01), Houle et al.
patent: 2004/0237047 (2004-11-01), Houle et al.
patent: 2005/0091500 (2005-04-01), Okazaki
patent: 2007/0110311 (2007-05-01), Houle et al.
patent: 2007/0110312 (2007-05-01), Houle et al.
patent: 2007/0110313 (2007-05-01), Houle et al.
patent: 2007/0110314 (2007-05-01), Houle et al.
patent: 2 271 657 (1994-04-01), None
patent: 0141051 (2001-06-01), None
patent: WO 01/41051 (2001-06-01), None
Huber et al., Handwriting Identification: Facts and Fundamentals, CRC Press, Boca Raton, 1999.
Kement, “Forensic Writer Recognition,” in Simon et al. (eds), Proc. NATO Adv. Stud. Inst., 1984, pp. 519-524.
Morris, Forensic Handwriting Identification: Fundamental Concepts and Principles (first edition), Academic Press, London, 2000.
Said et al., “Writer identification from non-uniformly skewed handwriting image,” Proc. of the 9thBritish Machine Vision Conf., 1998, pp. 478-487.
Schomaker et al., “Forensic writer identification: A benchmark data set and a comparison of two systems,” Technical report, Netherlands Forensic Institute, 2000.
Dimauro et al., “Automatic Bankcheck Processing: A New Engineered System,” Machine Perception and Artificial Intelligence, vol. 28, 1997, pp. 5-42.
S1. Notice of Opposition, EPO Applicaton No. /Patent No. 03005807.7-2218/1345163; Mailed Dec. 13, 2007.
D3. CSC: ETA-Fraud Detection brochure (1 page).
D5. Hardcastle, et al., “A computer-based system for the classification of handwriting on cheques. Part 2: Cursive handwriting” Journal of Forensic Science Society, 1990, pp. 97-103.
D6. Schroeder, “A revised method of classifying fraudulent checks in a document examination laboratory,” Forensic Science Journal, vol. 19, No. 3, 1974, pp. 618-635.
D7. Crane, et al., “Does the amount of handwriting on a check constitute a “reasonable amount of a sample”?” Canadian Society of Forensic Science, Mar. 1999, vol. 32, No. 1, pp. 39-45.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 10/714,523 mailed Feb. 20, 2008, available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 10/734,738 mailed Feb. 23, 2007, available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 10/741,156 mailed Aug. 23, 2007 available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 10/741,156 mailed Nov. 30, 2007 available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 11/649,592 mailed Dec. 12, 2007 available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 11/649,639 mailed May 2, 2007 available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 11/649,640 mailed May 2, 2007 available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 11/649,640 mailed Jan. 9, 2008 available in Pair.
U.S. Patent and Trademark Office, “Communication” for U.S. Appl. No. 11/649,591 mailed May 2, 2007 available in Pair.
R1. Arazi, B.: 1977, Handwriting identification by means of run-length measurements, IEEE Trans. Syst., Man and Cybernetics SMC-7 (12), 878-881.
R2. Arazi, B.: 1983, Automatic handwriting identification based on the external properties of the samples, IEEE Trans. Syst., Man and Cybernetics SMC-13 (4), 635-642.
R3. Drouhard, J., Sabourin, R. and Godbout, M.: 1995, A comparative study of the k nearest neighbours, threshold and neural network classifiers for handwritten signature verification using an enhanced directional pdf, Proc. of the 3rd International Conference on Document Analysis and Recognition, Montreal, Canada, pp. 807-810.
R4. Klement, V.: 1983, An application system for the computer-assisted identification of handwriting, Proc. Int. Carnahan Conf. on Security Technol., Zurich, Switzerland, pp. 75-79.
R5. Kondo, S. and Attachoo, B.: 1986, Model for handwriting process and its analysis, Proc. ICPR, pp. 562-565.
R6. Maarse, F., Schomaker, L. and Teulings, H.L.: 1988, Automatic identification of writers, in G. van der Veer and G. Mulder (eds), Human-Computer Interaction: Psychonomic Aspects, Springer, New York, pp. 353-360.
R7. Maarse, F. and Thomassen, A.: 1983, Produced and perceived writing slant: differences between up and down strokes, ACTA Psychologica 54 (1-3), 131-147.
R8. Plamondon, R. and Srihari, S.N.: 2000, On-line and off-line handwriting recognition: a comprehensive survey, IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (1), 63-84.
R9. Plamondon, R. and Loretta, G.: 1989, Automatic signature verification and writer identification-the state of the art, Pattern Recognition 22 (2), 107-131.
R10. Sabourin, R. and Drouhard, J.: 1992, Off-line signature verification using directional pdf and neural networks, Proc. of the 11th International Conference on Pattern Recognition (ICPR 1992), The Hague, Netherlands, pp. 321-325.
R11. Said, H., Peake, G., Tan, T. and Baker, K.: 1998, Writer identification based on handwriting, Pattern Recognition 33 (1), 149-160.
R12. Steinke, K.: 1981, Recognition of writers by handwriting images, Pattern Recognition 14 (1-6), 357-364.
R13. Vuurpijl, L. and Schomaker, L.: 1997, Finding structure in diversity: A hierarchical clustering method for the categorization of allographs in handwriting, Proc. of 4th ICDAR, IEEE, Ulm, Germany, pp. 387-393.
R14. Zois, E. and Anastassopoulos, V.: 2000, Morphological waveform coding for writer idetification, Pattern Recognition 33 (3), 385-398.
R15. Bajaj, R. and Chaudhury, S., “Signature Verification Using Multiple Neural Classifiers,” Pattern Recognition, vol. 30, No. 1, pp. 1-7, 1997.
R16. Bauer, F. and Wirtz, B., “Parameter Reduction and Personalized Parameter Selection for Automatic Si
Bakker Ronny
Berkhuysen Johan Willem Piere
Blinova Katerina
Houle Gilles
Mason James G.
Computer Sciences Corporation
Johns Andrew W
Meyertons Eric B.
Meyertons Hood Kivlin Kowert & Goetzel P.C.
LandOfFree
Systems and methods for handwriting analysis in documents does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Systems and methods for handwriting analysis in documents, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for handwriting analysis in documents will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4065844