IP Library › Granted Patent US 11,799,484
Granted Patent B2
US 11,799,484 · App. 17/955,108 · Granted Oct 24, 2023

System and method using a histogram and colorspaces to generate a matrix barcode having a plurality of colors and an ultraviolet layer

Inventors: Austin Grant Walters (Savoy, IL); Jeremy Edward Goodsitt (Champaign, IL); Fardin Abdi Taghi Abad (Champaign, IL)
Assignee: Capital One Services, LLC
H03K19/1776G06F9/3004G06K7/10821G06K7/12G06K7/1417G06K19/06G06K19/0614G06K19/06037G06T5/40G06T7/90G06V10/50G06V10/56G06K2019/06225
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,799,484
App. No.
17/955,108
Granted
Oct 24, 2023
Kind
B2
Abstract

Techniques to improve detection and security of images, including formation and detection of matrix-based images. A histogram may be used to determine a most prevalent plurality of colors associated with an environment. A related plurality of colors may be determined based on the most prevalent plurality of colors. A matrix barcode may be generated based on the related plurality of colors and an ultraviolet layer.

Claims (43)

1. A computer-implemented method, comprising:

accessing, by a processor, a histogram of an environment generated based on one or more images of the environment;

determining, by the processor, a most prevalent color of a plurality of prevalent colors associated with the environment based on the histogram by mapping the most prevalent color and the plurality of prevalent colors according to a red-green-blue (RGB) colorspace;

converting the RGB colorspace to another colorspace;

determining, by the processor based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and

generating, by the processor, a matrix barcode using the related plurality of colors and an ultraviolet layer.

2. The computer-implemented method of claim 1 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors.

3. The computer-implemented method of claim 1 , further comprising:

generating the histogram of the environment based on the one or more images of the environment.

4. The computer-implemented method of claim 1 , wherein the another colorspace includes a luminance channel, the method further comprising:

removing the luminance channel from the another colorspace.

5. The computer-implemented method of claim 4 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace.

6. The computer-implemented method of claim 1 , wherein the matrix barcode is embedded with computer data, wherein the computer data is represented by a plurality of pixels associated in part with each of the ultraviolet layer and the related plurality of colors.

7. The computer-implemented method of claim 1 , wherein the matrix barcode is a fiducial marker for conveying spatial information, wherein the conveyed spatial information stems at least in part from the ultraviolet layer.

8. A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processor, cause the processor to:

access a histogram of an environment generated based on one or more images of the environment;

determine a most prevalent color of a plurality of prevalent colors associated with the environment based on the histogram by mapping the most prevalent color and the plurality of prevalent colors according to a red-green-blue (RGB) colorspace;

convert the RGB colorspace to another colorspace;

determine, based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and

generate a matrix barcode using the related plurality of colors and an ultraviolet layer.

9. The computer-readable storage medium of claim 8 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors.

10. The computer-readable storage medium of claim 8 , wherein the instructions further configure the computer to:

generate the histogram of the environment based on the one or more images of the environment.

11. The computer-readable storage medium of claim 8 , wherein the another colorspace includes a luminance channel, wherein the instructions further cause the processor to:

remove the luminance channel from the another colorspace.

12. The computer-readable storage medium of claim 11 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace.

13. The computer-readable storage medium of claim 8 , wherein the matrix barcode is embedded with computer data, wherein the computer data is represented by a plurality of pixels associated in part with each of the ultraviolet layer and the related plurality of colors.

14. The computer-readable storage medium of claim 8 , wherein the matrix barcode is a fiducial marker for conveying spatial information, wherein the conveyed spatial information stems at least in part from the ultraviolet layer.

15. A computing apparatus comprising:

a processor; and

a memory storing instructions that, when executed by the processor, cause the processor to:

access a histogram of an environment generated based on one or more images of the environment;

determine a most prevalent color of a plurality of prevalent colors associated with the environment based on the histogram by mapping the most prevalent color and the plurality of prevalent colors according to a red-green-blue (RGB) colorspace;

convert the RGB colorspace to another colorspace;

determine, based on the histogram, a related plurality of colors by determining at least one set of color coordinates for each one of the most prevalent color and the plurality of prevalent colors according to the another colorspace and determining at least one set of color coordinates corresponding to the related plurality of colors according to the another colorspace; and

generate a matrix barcode using the related plurality of colors and an ultraviolet layer.

16. The computing apparatus of claim 15 , wherein the related plurality of colors include at least one of an absent color in relation to the environment or a least prevalent color of the plurality of prevalent colors.

17. The computing apparatus of claim 15 , wherein the instructions further configure the apparatus to:

generate the histogram of the environment based on the one or more images of the environment.

18. The computing apparatus of claim 15 , wherein the another colorspace includes a luminance channel, wherein the instructions further cause the processor to:

remove the luminance channel from the another colorspace.

19. The computing apparatus of claim 18 , wherein removal of the luminance channel generates the color coordinate sets according to the another colorspace.

20. The computing apparatus of claim 15 , wherein the matrix barcode is a fiducial marker for conveying spatial information, wherein the conveyed spatial information stems at least in part from the ultraviolet layer.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 28, 2022
From: WALTERS, AUSTIN GRANT; GOODSITT, JEREMY EDWARD; ABDI TAGHI ABAD, FARDIN
To: CAPITAL ONE SERVICES, LLC
Reel/Frame 061246/0153 →
Continuity (5)
Continuation 17198741 · Mar 11, 2021
Division 16906514 · Jun 19, 2020
Continuation 16655189 · Oct 16, 2019
Division 16357211 · Mar 18, 2019
Related Publication 20230083336A1 · Mar 16, 2023
Cited By (2)
US 12,255,646 US 12,307,310