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Robert Barry Dydyk

from Newbury Park, CA
Age ~82
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Also known as:
Robert B Dydyk, Barry C Dydyk, Rob B Dydyk, Bob B Dydyk, Christopher B Dydyk, Dydyk Dydyk, Robert K
Phone and address:
3459 Bear Creek Dr, Thousand Oaks, CA 91320
(805) 499-5627
Related to:
Robert H Cook, 95Christopher B Dydyk, 51Rbarry DydykCarolyn J Dydyk, 80Kevin M Dydyk, 53Kerry L Dydyk, 53
Connected to:
Joseph M Dydzak, 40Adrian Dye, 42Alane Dye, 75Aleza G Dye, 64Amanda Dye, 39Amber N Dye, 40Amy Dye, 37Bailey R Dye, 37Belinda J Dye, 68Benjamin H Dye, 45

Robert Dydyk Phones & Addresses

  • 3459 Bear Creek Dr, Newbury Park, CA 91320 (805) 499-5627
  • 3459 Bear Creek Ct, Newbury Park, CA 91320 (805) 499-5627
  • Thousand Oaks, CA
  • Santa Barbara, CA
  • 3459 Bear Creek Dr, Newbury Park, CA 91320 (805) 657-2223

Work

Position: Homemaker

Education

Degree: Graduate or professional degree

Publications

Us Patents

Fingerprint Classification Via Spatial Frequency Components

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US Patent:
59534427, Sep 14, 1999
Filed:
Jul 24, 1997
Appl. No.:
8/899803
Inventors:
Robert Barry Dydyk - Newbury Park CA
Stuart A. Mills - West Hills CA
Phillip Wayne Dennis - Thousand Oaks CA
Assignee:
Litton Systems, Inc. - Woodland Hills CA
International Classification:
G06K 900
US Classification:
382125
Abstract:
The present invention is a method and apparatus for automatically placing a first unknown image, such as an unknown fingerprint image, into one of a plurality of categories. The invention includes storing in a library a plurality of value series, each of which series is derived from the frequency representation of an image category. The categorization process and apparatus takes the frequency image of a first unknown pattern to create a first frequency image. The frequency image plane of the first (unknown) frequency image is divided into a plurality of frequency image plane regions. Each of the frequency image plane regions may be an angular segment radiating from the origin of the frequency image plane. A region value is assigned to each of the frequency image plane regions based on the total energy in the frequency image in that region. The region values for the first frequency image are combined to generate a first series of region values.

Fingerprint Classification Via Spatial Frequency Components

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US Patent:
62263919, May 1, 2001
Filed:
Jul 9, 1999
Appl. No.:
9/350807
Inventors:
Robert Barry Dydyk - Newbury Park CA
Stuart A. Mills - West Hills CA
Phillip Wayne Dennis - Thousand Oaks CA
Assignee:
Litton Systems, Inc. - Woodland Hills CA
International Classification:
G06K 900
US Classification:
382125
Abstract:
The present invention is a method and apparatus for automatically placing a first unknown image, such as an unknown fingerprint image, into one of a plurality of categories. The invention includes storing in a library a plurality of value series, each of which series is derived from the frequency representation of an image category. The categorization process and apparatus takes the frequency image of a first unknown pattern to create a first frequency image. The frequency image plane of the first (unknown) frequency image is divided into a plurality of frequency image plane regions. Each of the frequency image plane regions may be an angular segment radiating from the origin of the frequency image plane. A region value is assigned to each of the frequency image plane regions based on the total energy in the frequency image in that region. The region values for the first frequency image are combined to generate a first series of region values.

Rotational Correction And Duplicate Image Identification By Fourier Transform Correlation

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US Patent:
62858025, Sep 4, 2001
Filed:
Apr 8, 1999
Appl. No.:
9/289082
Inventors:
Phillip W. Dennis - Thousand Oaks CA
Stuart A. Mills - West Hills CA
Robert B. Dydyk - Newbury Park CA
Assignee:
Litton Systems, Inc. - Agoura Hills CA
International Classification:
G06F 15332
US Classification:
382280
Abstract:
The invention corrects for rotational misalignment of images having a prominent periodic structure in a preferred direction, particularly imaged text pages. It preferably also finds the degree of correlation between different images. First the rotational misalignment of an imaged page is detected and corrected, bringing the page into alignment with an axis. The angle of rotation of the page is detected by performing a linear regression analysis on filtered, two-dimensional power spectral density distribution of the page, to find the angular orientation of the periodic components. In the preferred embodiment, two imaged pages are then cross-correlated, preferably by an optical correlator, to find the degree of correlation between the pages.
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Robert Barry Dydyk from Newbury Park, CA, age ~82 Get Report