Method for generating learning and/or sample probes

Image analysis – Applications – Mail processing

Reexamination Certificate

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Details

C382S161000, C382S310000

Reexamination Certificate

active

11087504

ABSTRACT:
In the present invention information is first defined as a complete description of the meaning of the content, in addition to the required layout of the characters, words, delivery addresses or images of the entire delivery surface, which contains the delivery addresses, as sample elements. The images of the sample elements belonging to the defined reference information are then generated with the aid of type libraries for the defined character fonts and languages and said images are then stored, after having been assigned to the reference information, in the form of a pixel representation for the sample. The images of the sample elements that have been generated in the previous step are subsequently varied by means of known image processing algorithms to create at least one statistical variation corresponding to the previously collected, grouped deliveries, according to the defined sample scope.

REFERENCES:
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patent: 5796410 (1998-08-01), Baird
patent: 6269171 (2001-07-01), Gozzo et al.
patent: 0 461 793 (1991-12-01), None
patent: WO 00/70549 (2000-11-01), None
Govindan V K et al: “Artificial Database for Character Recognition Research” Pattern Recognition Letters, North-Holland Publ. Amsterdam, NL. vol. 12, No. 10, Oct. 1, 1991, pp. 645-648, XP000230128, ISSN: 0167-8655, Section 2.
“Optical Character Recognition Test”: IBM Technical Disclosure Bulletin, IBM Corp. New York, US, vol. 36, No. 3, Mar. 1, 1993; pp. 201-202, XP000354749; ISSN: 0018-8689, the whole document.
Miyojim M et al: “Synthesized images for pattern recognition” Pattern Recognition, Pergamon Press Inc. Elmsford, N.Y. US, vol. 28, No. 4, Apr. 1, 1995, pp. 595-610, XP004013174, ISSN: 0031-3203, abstract; figures 11,12.

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