U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Pattern recognition apparatus and method

Patent 4200861 Issued on April 29, 1980. Estimated Expiration Date: Icon_subject September 1, 1998. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

3829831

3849762

Pattern recognition system
Patent #: 4040009
Issued on: 08/02/1977
Inventor: Kadota ,   et al.

Character recognition apparatus for serially comparing an unknown character with a plurality of reference characters
Patent #: 4110737
Issued on: 08/29/1978
Inventor: Fahey

Comparison apparatus, e.g. for use in character recognition Patent #: 4119946
Issued on: 10/10/1978
Inventor: Taylor

Inventors

Assignee

Application

No. 05/939061 filed on 09/01/1978

US Classes:

382/216, At multiple image orientations or positions382/218Comparator

Examiners

Primary: Boudreau, Leo H.

Attorney, Agent or Firm

International Classes

G06K 9/64 (20060101)
G06K 9/68 (20060101)

Abstract

Video informatin obtained in real time is clocked and digitized according to light intensity. Changing light intensities are adaptively determined to vary the threshold level for determining black and white signals. The scene to be used as a reference is first recorded in a fine format and then in a coarse format. In the search mode the coarse stored information is compared in real time with coarse information from the field of view and convolved to generate a correlation number indicating the percentage of match. The location coordinates in the X and Y dimension for the best match is determined at the location of the highest correlation number. A fine search is then made around the coarse location previously determined by convolving in two dimensions previously stored information against information in real time from the scene under investigation to again determine the highest correlation as a measure of the location where the best possible match can be determined.

Other References

  • Gayle, "Statistical, Passive, Object Identification", IBM Tech. Disclosure Bulletin, vol. 4, No. 10, Mar. 1962, pp. 38-39
  • Bakis et al., "Pipelined Convolver for 2-Dimages", IBM Tech. Disclosue Bulletin, vol. 14, No. 2, Jul. 1971, pp. 475-476
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