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Raymond Kolczynski Phones & Addresses

  • 20 Germantown Rd, Bordentown, NJ 08505 (609) 298-7713
  • Trenton, NJ
  • Princeton, NJ

Resumes

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Raymond Kolczynski Photo 1

Raymond Kolczynski

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Publications

Us Patents

Image Sensor With Integrated Region Of Interest Calculation For Iris Capture, Autofocus, And Gain Control

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US Patent:
20090278922, Nov 12, 2009
Filed:
May 12, 2009
Appl. No.:
12/464369
Inventors:
Michael Tinker - Yardley PA, US
David Alan Ackerman - Hopewell NJ, US
Raymond Kolczynski - Bordentown NJ, US
James Bergen - Hopewell NJ, US
International Classification:
H04N 7/18
G06K 9/00
H04N 5/235
H04N 5/335
US Classification:
348 78, 382117, 3482291, 348294, 348E07085, 348E05034, 348E05091
Abstract:
An iris recognition system and method for operating same is disclosed. The iris recognition system includes an image sensor, a buffer, a comparator, autofocus logic, and gain control logic. The image sensor is configured to obtain at least one image from a camera. The buffer communicatively connected to the image sensor stores values associated with the pixels in the image sensor. The comparator communicately connected to the buffer obtains a coarse segmentation of an iris of a subject. The autofocus logic for adjusts the focus of a lens associated with the camera. The gain control logic adjusts the gain of the image sensor. The functions of obtaining a coarse segmentation, adjusting the focus of the lens, and adjusting the gain are based on the locations of the pixels with the highest value in the image sensor as stored in the buffer.

Automated, Non-Invasive Iris Recognition System And Method

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US Patent:
57518360, May 12, 1998
Filed:
Sep 27, 1996
Appl. No.:
8/727366
Inventors:
Richard Patrick Wildes - Princeton NJ
Jane Circle Asmuth - Princeton NJ
Keith James Hanna - Princeton NJ
Stephen Charles Hsu - East Windsor NJ
Raymond Joseph Kolczynski - Trenton NJ
James Regis Matey - Mercerville NJ
Sterling Eduard McBride - Lawrenceville NJ
Assignee:
David Sarnoff Research Center Inc. - Princeton NJ
International Classification:
G06K 900
US Classification:
382117
Abstract:
Iris recognition is achieved by (1) iris acquisition that permits a user to self-position his or her eye into an imager's field of view without the need for any physical contact, (2) spatially locating the data defining that portion of a digitized video image of the user's eye that defines solely the iris thereof without any initial spatial condition of the iris being provided, and (3) pattern matching the spatially located data defining the iris of the user's eye with stored data defining a model iris by employing normalized spatial correlation for first comparing, at each of a plurality of spatial scales, each of distinctive spatial characteristics of the respective irises that are spatially registered with one another to quantitatively determine, at each of the plurality of spatial scales, a goodness value of match at that spatial scale, and then judging whether or not the pattern which manifests solely the iris of the user's eye matches the digital data which manifests solely the model iris in accordance with a certain combination of the quantitatively-determined goodness values of match at each of said plurality of spatial scales.

Automated, Non-Invasive Iris Recognition System And Method

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US Patent:
55725961, Nov 5, 1996
Filed:
Sep 2, 1994
Appl. No.:
8/300678
Inventors:
Richard P. Wildes - Princeton NJ
Jane C. Asmuth - Princeton NJ
Keith J. Hanna - Princeton NJ
Stephen C. Hsu - East Windsor NJ
Raymond J. Kolczynski - Trenton NJ
James R. Matey - Hamilton Township, Mercer County NJ
Sterling E. McBride - Lawrence Township, Mercer County NJ
Assignee:
David Sarnoff Research Center, Inc. - Princeton NJ
International Classification:
G06K 900
US Classification:
382117
Abstract:
Iris recognition is achieved by (1) iris acquisition that permits a user to self-position his or her eye into an imager's field of view without the need for any physical contact, (2) spatially locating the data defining that portion of a digitized video image of the user's eye that defines solely the iris thereof without any initial spatial condition of the iris being provided, and (3) pattern matching the spatially located data defining the iris of the user's eye with stored data defining a model iris by employing normalized spatial correlation for first comparing, at each of a plurality of spatial scales, each of distinctive spatial characteristics of the respective irises that are spatially registered with one another to quantitatively determine, at each of the plurality of spatial scales, a goodness value of match at that spatial scale, and then judging whether or not the pattern which manifests solely the iris of the user's eye matches the digital data which manifests solely the model iris in accordance with a certain combination of the quantitatively-determined goodness values of match at each of said plurality of spatial scales.

Image Sensor With Integrated Region Of Interest Calculation For Iris Capture, Autofocus, And Gain Control

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US Patent:
20150379325, Dec 31, 2015
Filed:
Sep 4, 2015
Appl. No.:
14/846090
Inventors:
- Menlo Park CA, US
David Alan Ackerman - Hopewell NJ, US
Raymond Kolczynski - Bordentown NJ, US
James Bergen - Hopewell NJ, US
International Classification:
G06K 9/00
H04N 5/235
H04N 5/232
G06K 9/32
H04N 5/225
Abstract:
An integrated circuit has an image sensor to receive at least one image comprising a plurality of pixels from a camera comprising a lens, a buffer communicatively connected to the image sensor for storing values associated with the plurality of pixels, and a comparator communicately connected to the buffer to locate and identify the iris of a subject, in which locating and identifying the iris of the subject is based on a location of each pixel in a brightest pixel set. A method for locating and identifying an iris in an image includes capturing at least one image of an illuminated subject, determining a brightness value for each of the plurality of pixels, determining a location corresponding to each pixel in a brightest pixel set, and identifying the iris in the at least one image based on the location of each pixel in the brightest pixel set.
Raymond J Kolczynski from Bordentown, NJ, age ~63 Get Report